Triple
T4368450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egon Bahr |
E98835
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Treffurt
Treffurt is a small historic town in the German state of Thuringia, near the border with Hesse.
|
E433833
|
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: Treffurt | Statement: [Egon Bahr, placeOfBirth, Treffurt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Treffurt Context triple: [Egon Bahr, placeOfBirth, Treffurt]
-
A.
Eulachstadt
Eulachstadt is a nickname for the Swiss city of Winterthur, reflecting its historical association with the Eulach River and its development as an important industrial and cultural center.
-
B.
Endenich
Endenich is a district of Bonn, Germany, historically known as the place where composer Robert Schumann spent his final years and died in a mental asylum.
-
C.
Niendorf
Niendorf is a residential district in the northwestern part of Hamburg, Germany, known for its suburban character and proximity to Hamburg Airport.
-
D.
Drensteinfurt
Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
-
E.
Tureberg
Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
- 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: Treffurt Triple: [Egon Bahr, placeOfBirth, Treffurt]
Generated description
Treffurt is a small historic town in the German state of Thuringia, near the border with Hesse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Treffurt Target entity description: Treffurt is a small historic town in the German state of Thuringia, near the border with Hesse.
-
A.
Eulachstadt
Eulachstadt is a nickname for the Swiss city of Winterthur, reflecting its historical association with the Eulach River and its development as an important industrial and cultural center.
-
B.
Endenich
Endenich is a district of Bonn, Germany, historically known as the place where composer Robert Schumann spent his final years and died in a mental asylum.
-
C.
Niendorf
Niendorf is a residential district in the northwestern part of Hamburg, Germany, known for its suburban character and proximity to Hamburg Airport.
-
D.
Drensteinfurt
Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
-
E.
Tureberg
Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352034d3881909ed4b2f9eef5e823 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbcec90881908fe83c83119d99fe |
completed | March 14, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69b5dc3e4c488190a06421cdb3b168c3 |
completed | March 14, 2026, 10:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e0432bfc8190b18bbe918de1f297 |
completed | March 14, 2026, 10:25 p.m. |
Created at: March 12, 2026, 11:17 p.m.