Triple
T17222578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Fourche |
E418022
|
entity |
| Predicate | servesNeighborhood |
P82
|
FINISHED |
| Object | Épinettes |
E331918
|
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: Épinettes | Statement: [La Fourche, servesNeighborhood, Épinettes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Épinettes Context triple: [La Fourche, servesNeighborhood, Épinettes]
-
A.
Épinettes
chosen
Épinettes is a residential neighborhood in the northwestern part of Paris known for its 19th-century architecture and village-like atmosphere within the 17th arrondissement.
-
B.
Spruce
Spruce is a surname of English origin borne by various individuals, including Stephanie Spruce.
-
C.
Birch
Birch is a masculine given name most notably borne by American politician Birch Bayh, a long-serving U.S. senator from Indiana.
-
D.
Tamarack
Tamarack is a renowned artisan and cultural center in Beckley, West Virginia, showcasing and selling locally made crafts, art, and regional cuisine.
-
E.
Geneva Pine
Geneva Pine is a fictional attorney character from the legal and political drama series "The Good Wife," portrayed by Renée Elise Goldsberry.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddf2c3c8190b6adceaaefd4ccbf |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0167596ab481909df59ce68c7f640e |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.