Triple
T10670984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankfurt skyline |
E251483
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Silberturm
Silberturm is a prominent modernist high-rise office tower in Frankfurt am Main, Germany, and a recognizable feature of the city’s financial district skyline.
|
E880037
|
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: Silberturm | Statement: [Frankfurt skyline, hasPart, Silberturm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silberturm Context triple: [Frankfurt skyline, hasPart, Silberturm]
-
A.
Reichenturm
Reichenturm is a historic leaning tower and prominent medieval landmark in the Saxon town of Bautzen, Germany.
-
B.
Pulverturm
Pulverturm is a historic defensive tower that forms part of the medieval Musegg Wall fortifications in Lucerne, Switzerland.
-
C.
Opernturm
Opernturm is a prominent modern high-rise office tower in Frankfurt am Main, Germany, known for its sleek design and contribution to the city’s financial district skyline.
-
D.
Roter Turm
Roter Turm is a historic medieval tower and prominent architectural landmark in the city center of Chemnitz, Germany.
-
E.
Roter Turm
Roter Turm is a historic clock and bell tower in Halle (Saale), Germany, and one of the city’s most recognizable architectural landmarks.
- 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: Silberturm Triple: [Frankfurt skyline, hasPart, Silberturm]
Generated description
Silberturm is a prominent modernist high-rise office tower in Frankfurt am Main, Germany, and a recognizable feature of the city’s financial district skyline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silberturm Target entity description: Silberturm is a prominent modernist high-rise office tower in Frankfurt am Main, Germany, and a recognizable feature of the city’s financial district skyline.
-
A.
Reichenturm
Reichenturm is a historic leaning tower and prominent medieval landmark in the Saxon town of Bautzen, Germany.
-
B.
Pulverturm
Pulverturm is a historic defensive tower that forms part of the medieval Musegg Wall fortifications in Lucerne, Switzerland.
-
C.
Opernturm
Opernturm is a prominent modern high-rise office tower in Frankfurt am Main, Germany, known for its sleek design and contribution to the city’s financial district skyline.
-
D.
Roter Turm
Roter Turm is a historic medieval tower and prominent architectural landmark in the city center of Chemnitz, Germany.
-
E.
Roter Turm
Roter Turm is a historic clock and bell tower in Halle (Saale), Germany, and one of the city’s most recognizable architectural landmarks.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f86390648190851693aedce6b7ad |
completed | April 9, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998b77db08190bce5a7ce24dbc085 |
completed | April 11, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69d99e8312188190bec3090f34a7b9b9 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d99f50e0888190b8e7b2547e1526af |
completed | April 11, 2026, 1:09 a.m. |
Created at: April 8, 2026, 9:09 p.m.