Triple
T2456185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tramway de Reims |
E54426
|
entity |
| Predicate | hasTerminus |
P388
|
FINISHED |
| Object |
Neufchâtel
Neufchâtel is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
|
E267873
|
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: Neufchâtel | Statement: [Tramway de Reims, hasTerminus, Neufchâtel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neufchâtel Context triple: [Tramway de Reims, hasTerminus, Neufchâtel]
-
A.
Marmande
Marmande is a town in southwestern France known for its agricultural production, particularly tomatoes, and its location in the Garonne River valley.
-
B.
Bresse
Bresse is a historical region in eastern France known for its rich agricultural land, distinctive culinary traditions, and cultural ties to the Franco-Provençal linguistic area.
-
C.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
D.
Fougères
Fougères is a historic town in Brittany, northwestern France, known for its impressive medieval castle and well-preserved old quarter.
-
E.
Compiegne
Compiègne is a historic city in northern France known for its royal château, forest, and role in significant events such as the signing of the 1918 Armistice.
- 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: Neufchâtel Triple: [Tramway de Reims, hasTerminus, Neufchâtel]
Generated description
Neufchâtel is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neufchâtel Target entity description: Neufchâtel is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
-
A.
Marmande
Marmande is a town in southwestern France known for its agricultural production, particularly tomatoes, and its location in the Garonne River valley.
-
B.
Bresse
Bresse is a historical region in eastern France known for its rich agricultural land, distinctive culinary traditions, and cultural ties to the Franco-Provençal linguistic area.
-
C.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
D.
Fougères
Fougères is a historic town in Brittany, northwestern France, known for its impressive medieval castle and well-preserved old quarter.
-
E.
Compiegne
Compiègne is a historic city in northern France known for its royal château, forest, and role in significant events such as the signing of the 1918 Armistice.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd106f4608190ae17ddbd24fad97e |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0ca655c81908612983ced5f5786 |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef50bc7ac8190add8ee63c5621dc1 |
completed | March 9, 2026, 4:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef632e2e08190b21023cbb0f12be8 |
completed | March 9, 2026, 4:32 p.m. |
Created at: March 6, 2026, 9:44 p.m.