Triple
T16566073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare de Lorraine TGV |
E402462
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Louvigny
Louvigny is a small commune in northeastern France known for its proximity to the high-speed Lorraine TGV railway station.
|
E1280813
|
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: Louvigny | Statement: [Gare de Lorraine TGV, locatedNear, Louvigny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louvigny Context triple: [Gare de Lorraine TGV, locatedNear, Louvigny]
-
A.
Juvigny
Juvigny is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
B.
Vernouillet
Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
-
C.
Bovigny
Bovigny is a village in the municipality of Gouvy in the province of Luxembourg, Belgium.
-
D.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
-
E.
Chauvigny
Chauvigny is a historic town in western France known for its medieval fortifications and picturesque setting in the Vienne department of the Nouvelle-Aquitaine region.
- 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: Louvigny Triple: [Gare de Lorraine TGV, locatedNear, Louvigny]
Generated description
Louvigny is a small commune in northeastern France known for its proximity to the high-speed Lorraine TGV railway station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Louvigny Target entity description: Louvigny is a small commune in northeastern France known for its proximity to the high-speed Lorraine TGV railway station.
-
A.
Juvigny
Juvigny is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
B.
Vernouillet
Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
-
C.
Bovigny
Bovigny is a village in the municipality of Gouvy in the province of Luxembourg, Belgium.
-
D.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
-
E.
Chauvigny
Chauvigny is a historic town in western France known for its medieval fortifications and picturesque setting in the Vienne department of the Nouvelle-Aquitaine region.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35772255881909f737da89bcd06b8 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a021633fc848190b33798dc10ca0d55 |
completed | May 11, 2026, 5:47 p.m. |
| NEDg | Description generation | batch_6a0218494d0c819096fa32b39524f960 |
completed | May 11, 2026, 5:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0218abde2c81908b6fec30ef40876f |
completed | May 11, 2026, 5:58 p.m. |
Created at: April 10, 2026, 5:15 a.m.