Triple
T9022604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orduña |
E215763
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Orduña-Urduña |
E215763
|
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: Orduña-Urduña | Statement: [Orduña, hasOfficialName, Orduña-Urduña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orduña-Urduña Context triple: [Orduña, hasOfficialName, Orduña-Urduña]
-
A.
Orduña
chosen
Orduña is a historic town in the Basque Country of northern Spain, known for its medieval heritage and strategic location along traditional trade routes.
-
B.
Olañeta
Olañeta is a Spanish Basque surname most notably associated with Pedro Antonio Olañeta, a royalist military leader during the Spanish American wars of independence.
-
C.
Salvatierra-Agurain
Salvatierra-Agurain is a historic town in the province of Álava in Spain’s Basque Country, known for its medieval architecture and walled old quarter.
-
D.
Aramburu
Aramburu is a Spanish-language surname of Basque origin borne by various notable figures in politics, religion, and sports.
-
E.
Norzagaray
Norzagaray is a landlocked municipality in the province of Bulacan in the Philippines, known for its quarrying industry and natural attractions such as dams, rivers, and limestone formations.
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a454b808190af6bb48f7a4da917 |
completed | April 1, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb7a95a88190a41ba5549f2b2d5a |
completed | April 3, 2026, 4:31 p.m. |
Created at: March 30, 2026, 7:07 p.m.