Triple
T10045079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare de Bayonne |
E207594
|
entity |
| Predicate | nearbyRiver |
P8567
|
FINISHED |
| Object | Nive |
E207593
|
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: Nive | Statement: [Gare de Bayonne, nearbyRiver, Nive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nive Context triple: [Gare de Bayonne, nearbyRiver, Nive]
-
A.
Nive
chosen
The Nive is a river in southwestern France that flows through the Basque Country and joins the Adour at Bayonne.
-
B.
Nivins
Nivins is the surname of Ahmad Nivins, an American professional basketball player known for his collegiate career at Saint Joseph's University and subsequent international play.
-
C.
Nivy
Nivy is a district of Bratislava, Slovakia, known for its central location, major transport hub, and commercial-residential developments.
-
D.
Nivaclé
The Nivaclé are an indigenous people of the Gran Chaco region of South America, known for their distinct language, traditional subsistence practices, and rich cultural heritage.
-
E.
Nied
Nied is a district of Frankfurt am Main in Germany, located along the River Main and known for its mix of residential areas and green spaces.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf62ecf081909c055171b78a883a |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a35fbc081908ec7d359ec3332f2 |
completed | April 5, 2026, 5:21 p.m. |
Created at: March 30, 2026, 8:56 p.m.