Triple
T11793412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koror–Babeldaob Bridge |
E280443
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object |
Dyckerhoff & Widmann
Dyckerhoff & Widmann was a German construction and engineering firm known for its pioneering work in concrete structures and major bridge projects.
|
E946944
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dyckerhoff & Widmann | Statement: [Koror–Babeldaob Bridge, designer, Dyckerhoff & Widmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dyckerhoff & Widmann Context triple: [Koror–Babeldaob Bridge, designer, Dyckerhoff & Widmann]
-
A.
Duncker & Humblot
Duncker & Humblot is a long-established German academic publishing house known for its scholarly works in the humanities and social sciences.
-
B.
Steiner & Co.
Steiner & Co. was a historical publishing house known for issuing works such as accounts of the Battle of Vitoria.
-
C.
Buna-Werke
Buna-Werke was a synthetic rubber and fuel plant operated by IG Farben near Auschwitz, notorious for its use of forced labor from the adjacent Monowitz concentration camp during World War II.
-
D.
E.S. Mittler & Sohn
E.S. Mittler & Sohn is a historic German publishing house known for its military and technical literature.
-
E.
Wegmann & Co
Wegmann & Co was a German defense and rail vehicle manufacturer that became part of Krauss-Maffei Wegmann through a merger.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dyckerhoff & Widmann Triple: [Koror–Babeldaob Bridge, designer, Dyckerhoff & Widmann]
Generated description
Dyckerhoff & Widmann was a German construction and engineering firm known for its pioneering work in concrete structures and major bridge projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dyckerhoff & Widmann Target entity description: Dyckerhoff & Widmann was a German construction and engineering firm known for its pioneering work in concrete structures and major bridge projects.
-
A.
Duncker & Humblot
Duncker & Humblot is a long-established German academic publishing house known for its scholarly works in the humanities and social sciences.
-
B.
Steiner & Co.
Steiner & Co. was a historical publishing house known for issuing works such as accounts of the Battle of Vitoria.
-
C.
Buna-Werke
Buna-Werke was a synthetic rubber and fuel plant operated by IG Farben near Auschwitz, notorious for its use of forced labor from the adjacent Monowitz concentration camp during World War II.
-
D.
E.S. Mittler & Sohn
E.S. Mittler & Sohn is a historic German publishing house known for its military and technical literature.
-
E.
Wegmann & Co
Wegmann & Co was a German defense and rail vehicle manufacturer that became part of Krauss-Maffei Wegmann through a merger.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a082d08190a42541396a06ed98 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09115c66c8190b0a3e775bdf575c1 |
completed | April 28, 2026, 10:51 a.m. |
| NEDg | Description generation | batch_69f0bd40108c8190863a60cf01cc7201 |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0ef7e9f388190b33f6c16abadfde9 |
completed | April 28, 2026, 5:33 p.m. |
Created at: April 8, 2026, 9:42 p.m.