Triple
T6891986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nervión River |
E159068
|
entity |
| Predicate | passesBy |
P3947
|
FINISHED |
| Object | Barakaldo |
E627050
|
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: Barakaldo | Statement: [Nervión River, passesBy, Barakaldo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barakaldo Context triple: [Nervión River, passesBy, Barakaldo]
-
A.
Barakaldo
chosen
Barakaldo is a major industrial and residential city in the Basque Country in northern Spain, located near Bilbao along the Nervión River.
-
B.
Sestao
Sestao is an industrial town and municipality in the Basque province of Biscay in northern Spain, situated along the Nervión River near Bilbao.
-
C.
Portugalete
Portugalete is a historic port town in northern Spain’s Basque Country, known for its UNESCO-listed Vizcaya Bridge spanning the Nervión River.
-
D.
Bilbao
Bilbao is a major port city in northern Spain renowned for its industrial heritage, cultural institutions like the Guggenheim Museum, and role as an economic hub of the Basque Country.
-
E.
Zarautz
Zarautz is a coastal town in Spain’s Basque Country, known for its long sandy beach and strong surfing culture.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d92ecbdc8190992f9c7f4f33f4c4 |
completed | March 27, 2026, 7:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7882712548190a0c7e5660c61625d |
completed | March 28, 2026, 7:49 a.m. |
Created at: March 27, 2026, 2:24 p.m.