Triple
T12487840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epinay Congress |
E298482
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Épinay-sur-Seine |
E689978
|
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: Épinay-sur-Seine | Statement: [Epinay Congress, location, Épinay-sur-Seine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Épinay-sur-Seine Context triple: [Epinay Congress, location, Épinay-sur-Seine]
-
A.
Epinay-sur-Seine
chosen
Epinay-sur-Seine is a suburban commune in the northern outskirts of Paris, France, known for its residential neighborhoods along the Seine River.
-
B.
Épinay-sur-Orge
Épinay-sur-Orge is a suburban commune in the southern outskirts of Paris, France, known for its location along the Orge River in the Essonne department.
-
C.
Arcueil
Arcueil is a suburban commune in the southern outskirts of Paris, France, known historically as a residential area for notable scientists and intellectuals.
-
D.
Arcueil
Arcueil is a small river in France that serves as a tributary of the Alagnon.
-
E.
Boulogne-Billancourt
Boulogne-Billancourt is a densely populated suburban city just southwest of central Paris, known as a major economic and media hub in the Île-de-France region.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de077bc81908b5ff057a1bf2b4f |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a043f0c431881909dc033b16cee1634 |
completed | May 13, 2026, 9:06 a.m. |
Created at: April 8, 2026, 9:56 p.m.