Triple
T7266115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ignacio Ellacuría |
E160978
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Portugalete |
E628814
|
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: Portugalete | Statement: [Ignacio Ellacuría, birthPlace, Portugalete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portugalete Context triple: [Ignacio Ellacuría, birthPlace, Portugalete]
-
A.
Portugalete
chosen
Portugalete is a historic port town in northern Spain’s Basque Country, known for its UNESCO-listed Vizcaya Bridge spanning the Nervión River.
-
B.
Santurtzi
Santurtzi is a coastal town and municipality in the Greater Bilbao area of northern Spain, known for its fishing port and maritime traditions.
-
C.
Zarautz
Zarautz is a coastal town in Spain’s Basque Country, known for its long sandy beach and strong surfing culture.
-
D.
Sestao
Sestao is an industrial town and municipality in the Basque province of Biscay in northern Spain, situated along the Nervión River near Bilbao.
-
E.
Plentzia
Plentzia is a coastal town and popular beachside resort in the province of Biscay in Spain’s Basque Country.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eae64e54819096b27c7b09060afa |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3cb62288190bac8da63c24fe076 |
completed | March 28, 2026, 1:12 p.m. |
Created at: March 27, 2026, 2:58 p.m.