Triple
T16446223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burlada |
E399434
|
entity |
| Predicate | borderingEntity |
P224
|
FINISHED |
| Object | Huarte |
E1109907
|
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: Huarte | Statement: [Burlada, borderingEntity, Huarte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huarte Context triple: [Burlada, borderingEntity, Huarte]
-
A.
Huarte
Huarte is a Spanish surname most notably borne by John Huarte, an American football quarterback who won the 1964 Heisman Trophy.
-
B.
Huarte
chosen
Huarte is a small town in northern Spain’s Navarre region, situated near Pamplona and known for its riverside setting and cultural facilities.
-
C.
Huerta
Huerta is a Spanish-language surname borne by numerous individuals, including notable figures in politics, activism, and the arts.
-
D.
Pomares
Pomares is a small village in the municipality of Arganil in central Portugal, known for its rural setting and traditional Portuguese character.
-
E.
Balazote
Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdcedf8819080aa82a8712c0b42 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0045922d748190bb3200c96f244149 |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.