Triple
T13812239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ligne 2 |
E331921
|
entity |
| Predicate | servesDistrict |
P82
|
FINISHED |
| Object | Étoile |
E65647
|
NE FINISHED |
How this triple was built (2 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: Étoile | Statement: [Ligne 2, servesDistrict, Étoile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Étoile Context triple: [Ligne 2, servesDistrict, Étoile]
-
A.
Étoile
chosen
Étoile was the former name of the Paris Métro station now known as Charles de Gaulle–Étoile, located near the Arc de Triomphe at Place Charles de Gaulle.
-
B.
Vaucouleurs
Vaucouleurs is a historic commune in northeastern France, known for its medieval heritage and its association with figures such as Joan of Arc.
-
C.
Aurore
Aurore is a French given name commonly used for women, derived from the Latin word for "dawn."
-
D.
Céreste
Céreste is a small commune in southeastern France’s Alpes-de-Haute-Provence department, known for its picturesque Provençal landscape and historic village setting.
-
E.
Le Dorat
Le Dorat is a historic small town in west-central France known for its medieval architecture and Romanesque collegiate church.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de027198f8819095da3e714ac241f5 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8de34a4819090c99cb78b941003 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:12 p.m.