Triple
T3141214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Étoile (Paris Métro) |
E65647
|
entity |
| Predicate | formerOfficialName |
P65
|
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: [Étoile (Paris Métro), formerOfficialName, Étoile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Étoile Context triple: [Étoile (Paris Métro), formerOfficialName, 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.
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.
-
C.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
-
D.
Estrela
Estrela is a historic and picturesque neighborhood in Lisbon, Portugal, known for its basilica, gardens, and traditional tram routes.
-
E.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada57895dc8190bd3d4ef9391973dc |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224e4df38819089d0a11016a85ad8 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:05 p.m.