Triple
T16591141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saulx-les-Chartreux |
E403087
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Ballainvilliers |
E336076
|
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: Ballainvilliers | Statement: [Saulx-les-Chartreux, locatedNear, Ballainvilliers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ballainvilliers Context triple: [Saulx-les-Chartreux, locatedNear, Ballainvilliers]
-
A.
Ballainvilliers
chosen
Ballainvilliers is a commune in the southern suburbs of Paris, located in the Essonne department in northern France.
-
B.
Villeré
Villeré is a French surname associated with individuals such as Marie Laure Villeré.
-
C.
Morainvilliers
Morainvilliers is a small commune in the Yvelines department of north-central France, situated in the western suburbs of Paris.
-
D.
Beaumains
Beaumains is the nickname given to Sir Gareth, a knight of the Round Table in Arthurian legend known for his humble beginnings and later heroic deeds.
-
E.
Beaucourt
Beaucourt is a small French commune located in the northeastern region of Bourgogne-Franche-Comté 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e359a012e081909a0604dde3c04bbb |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00759b9e5081909815d2cd00d44490 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:16 a.m.