Triple
T14066121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château-Thierry |
E338474
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Niederkirchen
Niederkirchen is a municipality in western Germany, known for its rural character and cultural ties to its French twin town, Château-Thierry.
|
E1143534
|
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: Niederkirchen | Statement: [Château-Thierry, hasTwinTown, Niederkirchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niederkirchen Context triple: [Château-Thierry, hasTwinTown, Niederkirchen]
-
A.
Bodenkirchen
Bodenkirchen is a rural municipality in southeastern Bavaria, Germany, known for its agricultural character and location within the Landshut region.
-
B.
Schweitenkirchen
Schweitenkirchen is a municipality in Bavaria, Germany, situated in the district of Pfaffenhofen an der Ilm.
-
C.
Taufkirchen
Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
-
D.
Neukirchen
Neukirchen is a village and cadastral community that forms part of the market town of Altmünster in Upper Austria.
-
E.
Neukirchen
Neukirchen is a village-level subdivision of the town of Braunfels in the state of Hesse, Germany.
- 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: Niederkirchen Triple: [Château-Thierry, hasTwinTown, Niederkirchen]
Generated description
Niederkirchen is a municipality in western Germany, known for its rural character and cultural ties to its French twin town, Château-Thierry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niederkirchen Target entity description: Niederkirchen is a municipality in western Germany, known for its rural character and cultural ties to its French twin town, Château-Thierry.
-
A.
Bodenkirchen
Bodenkirchen is a rural municipality in southeastern Bavaria, Germany, known for its agricultural character and location within the Landshut region.
-
B.
Schweitenkirchen
Schweitenkirchen is a municipality in Bavaria, Germany, situated in the district of Pfaffenhofen an der Ilm.
-
C.
Taufkirchen
Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
-
D.
Neukirchen
Neukirchen is a village and cadastral community that forms part of the market town of Altmünster in Upper Austria.
-
E.
Neukirchen
Neukirchen is a village-level subdivision of the town of Braunfels in the state of Hesse, Germany.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568b81f08190a571004261c0e8e4 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31670a48190a606e812a2aa0a6e |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed45bfb0c8190a0a02c51b027bd64 |
completed | May 9, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed4c6aaf88190af2f1d3a1280b825 |
completed | May 9, 2026, 6:31 a.m. |
Created at: April 9, 2026, 10:21 p.m.