Triple
T10480726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibn Tufayl |
E247161
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Guadix |
E530257
|
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: Guadix | Statement: [Ibn Tufayl, placeOfBirth, Guadix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guadix Context triple: [Ibn Tufayl, placeOfBirth, Guadix]
-
A.
Guadix
chosen
Guadix is a historic Andalusian town in southern Spain, noted for its cave dwellings and impressive cathedral set against the Sierra Nevada foothills.
-
B.
Teguise
Teguise is a historic town and municipality on the island of Lanzarote in Spain’s Canary Islands, known for its well-preserved architecture and popular Sunday market.
-
C.
El Ejido
El Ejido is a major agricultural town in southeastern Spain, renowned for its extensive greenhouse farming and intensive fruit and vegetable production.
-
D.
Almuñécar
Almuñécar is a coastal town on Spain’s Costa Tropical in the province of Granada, known for its beaches, subtropical climate, and historical sites dating back to Phoenician and Roman times.
-
E.
Aljustrel
Aljustrel is a Portuguese town and municipality in the Alentejo region known historically for its mining activities, particularly copper and pyrite extraction.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095c5dc88190902582db28df01b4 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a02aa2748190902f5c08afd7dda9 |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:22 p.m.