Triple
T11684626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autoroute A63 |
E277706
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Dax |
E687116
|
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: Dax | Statement: [Autoroute A63, passesNear, Dax]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dax Context triple: [Autoroute A63, passesNear, Dax]
-
A.
Dax
chosen
Dax is a commune in southwestern France known for its thermal spas and historic Roman heritage.
-
B.
Darel
Darel is a given name, typically a variant spelling of Daryl, used for both males and females.
-
C.
Trandal
Trandal is a small, scenic village in western Norway, known for its dramatic fjord landscape and location along the Hjørundfjord.
-
D.
Dakku
Dakku was one of the wives of famed Sherpa mountaineer Tenzing Norgay, who helped support his family life during his historic climbing career.
-
E.
Arkel
Arkel is the elderly, blind King of Allemonde in Claude Debussy’s opera "Pelléas et Mélisande," embodying wisdom and tragic resignation amid the drama’s unfolding passions.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a463f6448190a4c8e1651a2bd905 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1433be908190b2ac887655a6c85a |
completed | April 27, 2026, 7:45 a.m. |
Created at: April 8, 2026, 9:40 p.m.