Triple

T14006403
Position Surface form Disambiguated ID Type / Status
Subject University of Almería E336959 entity
Predicate locatedIn P40 FINISHED
Object Almería E66860 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: Almería | Statement: [University of Almería, locatedIn, Almería]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almería
Context triple: [University of Almería, locatedIn, Almería]
  • A. Almería chosen
    Almería is a coastal city and province in southeastern Spain known for its arid climate, historic Alcazaba fortress, and extensive greenhouse agriculture.
  • B. Almeria
    Almeria is a coastal municipality on Biliran Island in the Philippines known for its scenic beaches and rural landscapes.
  • C. Antequera
    Antequera is a historic city in Andalusia, southern Spain, known for its well-preserved medieval architecture and nearby prehistoric dolmens, a UNESCO World Heritage Site.
  • D. Jumilla
    Jumilla is a Spanish wine region in the province of Murcia, renowned for its robust red wines, particularly those made from the Mourvèdre (Monastrell) grape.
  • E. Málaga
    Málaga is a historic port city on Spain’s Costa del Sol, renowned for its Mediterranean beaches, rich Andalusian culture, and as the birthplace of artist Pablo Picasso.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed327d88190a53af5768468a8eb completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff90815b64819082715292f6088c74 completed May 9, 2026, 7:52 p.m.
Created at: April 9, 2026, 10:19 p.m.