Triple
T2456188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tramway de Reims |
E54426
|
entity |
| Predicate | hasTerminus |
P388
|
FINISHED |
| Object |
Orgeval
Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
|
E304926
|
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: Orgeval | Statement: [Tramway de Reims, hasTerminus, Orgeval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orgeval Context triple: [Tramway de Reims, hasTerminus, Orgeval]
-
A.
Givry
Givry is a Burgundy wine appellation in eastern France, noted for its predominantly Pinot Noir red wines with a reputation for good value and quality.
-
B.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
C.
Saverne
Saverne is a historic town in northeastern France, known for its canal, rose gardens, and the Château des Rohan.
-
D.
Faya-Largeau
Faya-Largeau is the largest oasis town in northern Chad and an important administrative and trade center in the Sahara Desert.
-
E.
Sainte-Menehould
Sainte-Menehould is a historic commune in northeastern France, noted for its role in the French Revolution as a key stop where the fleeing royal family was recognized during the Flight to Varennes.
- 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: Orgeval Triple: [Tramway de Reims, hasTerminus, Orgeval]
Generated description
Orgeval 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: Orgeval Target entity description: Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
-
A.
Givry
Givry is a Burgundy wine appellation in eastern France, noted for its predominantly Pinot Noir red wines with a reputation for good value and quality.
-
B.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
C.
Saverne
Saverne is a historic town in northeastern France, known for its canal, rose gardens, and the Château des Rohan.
-
D.
Faya-Largeau
Faya-Largeau is the largest oasis town in northern Chad and an important administrative and trade center in the Sahara Desert.
-
E.
Sainte-Menehould
Sainte-Menehould is a historic commune in northeastern France, noted for its role in the French Revolution as a key stop where the fleeing royal family was recognized during the Flight to Varennes.
- 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_69b01d1c73d88190b4e871b9876e1a52 |
completed | March 10, 2026, 1:31 p.m. |
| NEDg | Description generation | batch_69b0212016f881909e7ce8726680f40f |
completed | March 10, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b022213c6c81909549e5c46991f4a9 |
completed | March 10, 2026, 1:52 p.m. |
Created at: March 6, 2026, 9:44 p.m.