Triple
T9714442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landes forest |
E235103
|
entity |
| Predicate | hasNearbyCity |
P350
|
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: [Landes forest, hasNearbyCity, Dax]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dax Context triple: [Landes forest, hasNearbyCity, Dax]
-
A.
Dax
chosen
Dax is a commune in southwestern France known for its thermal spas and historic Roman heritage.
-
B.
Trandal
Trandal is a small, scenic village in western Norway, known for its dramatic fjord landscape and location along the Hjørundfjord.
-
C.
Dakku
Dakku was one of the wives of famed Sherpa mountaineer Tenzing Norgay, who helped support his family life during his historic climbing career.
-
D.
Dweik
Dweik is a family name most notably associated with Palestinian politician Aziz Dweik, a senior Hamas figure and former speaker of the Palestinian Legislative Council.
-
E.
Darek
Darek is a given name, typically a variant spelling of Derek used in various European countries.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0a1b548190b34c8571751ca1d3 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f900ca08190a52f042feab2afa3 |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:19 p.m.