Triple
T22787660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vélizy-Villacoublay |
E564013
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Chaville |
—
|
NE NERFINISHED |
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: Chaville | Statement: [Vélizy-Villacoublay, borders, Chaville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaville Context triple: [Vélizy-Villacoublay, borders, Chaville]
-
A.
Chaville
chosen
Chaville is a suburban commune in the western outskirts of Paris, located in the Hauts-de-Seine department of France.
-
B.
Channing
Channing is a surname most notably associated with several prominent American intellectuals, clergy, and public figures from the 18th and 19th centuries.
-
C.
Yasbeck
Yasbeck is a surname most notably associated with American actress Amy Yasbeck, known for her roles in film and television comedies.
-
D.
Chace
Chace is the middle name of Richard C. Tolman, an influential American physicist and physical chemist known for his work in statistical mechanics and cosmology.
-
E.
Tamblyn
Tamblyn is the surname of American actress, writer, and director Amber Tamblyn, known for her roles in film and television and her work as a poet and author.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c32de6481909ef358d16de98496 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 3:29 p.m.