Triple
T21860749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vélez-Málaga |
E539753
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Axarquía |
—
|
NE NERFINISHED |
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: Axarquía | Statement: [Vélez-Málaga, locatedIn, Axarquía]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Axarquía Context triple: [Vélez-Málaga, locatedIn, Axarquía]
-
A.
Axarquía
chosen
Axarquía is a coastal and mountainous comarca in eastern Málaga, Spain, known for its whitewashed villages, subtropical climate, and Mediterranean beaches.
-
B.
Alcaria
Alcaria is a civil parish located within the municipality of Porto de Mós in central Portugal.
-
C.
Aprica
Aprica is a popular ski resort town in the Italian Alps known for its extensive slopes and winter sports facilities.
-
D.
Tasqueña
Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
-
E.
Provadia
Provadia is a historic town in northeastern Bulgaria known for its ancient salt production and nearby prehistoric settlement, considered one of Europe's earliest urban centers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63a22b88190b59b13e7b4788195 |
completed | April 28, 2026, 3:46 p.m. |
Created at: April 16, 2026, 6:56 p.m.