Triple
T13856700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quincy-sous-Sénart |
E333083
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Boussy-Saint-Antoine |
E405492
|
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: Boussy-Saint-Antoine | Statement: [Quincy-sous-Sénart, sharesBorderWith, Boussy-Saint-Antoine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boussy-Saint-Antoine Context triple: [Quincy-sous-Sénart, sharesBorderWith, Boussy-Saint-Antoine]
-
A.
Boussy-Saint-Antoine
chosen
Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
-
B.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
-
C.
Bourgueil
Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
-
D.
Cazeneuve-Montaut
Cazeneuve-Montaut is a small commune in the Haute-Garonne department in southwestern France.
-
E.
Brière
Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef883f2b88190807d9157e8d45e3c |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 9, 2026, 10:14 p.m.