Triple
T11827447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Espinar Province |
E281292
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Espinar |
E949726
|
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: Espinar | Statement: [Espinar Province, namedAfter, Espinar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Espinar Context triple: [Espinar Province, namedAfter, Espinar]
-
A.
Espinar
chosen
Espinar is a town in southern Peru that serves as an administrative and commercial center in the Andean highlands.
-
B.
Escalona
Escalona is a historic Spanish town whose name is associated with the noble title of Duke of Escalona.
-
C.
Cangas de Onís
Cangas de Onís is a historic town in northern Spain’s Asturias region, known as the first capital of the Kingdom of Asturias and a gateway to the Picos de Europa.
-
D.
Osuna
Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
-
E.
Espín
Espín is a Spanish surname notably borne by Cuban revolutionary and feminist leader Vilma Espín.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5ec3a148190bb184ba0d481b16a |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f2812007dc81908e56fd47b2a94836 |
completed | April 29, 2026, 10:07 p.m. |
Created at: April 8, 2026, 9:43 p.m.