Triple

T7782128
Position Surface form Disambiguated ID Type / Status
Subject Pontevedra E221545 entity
Predicate contains P35 FINISHED
Object Pontevedra (city) E221545 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: Pontevedra (city) | Statement: [Pontevedra, contains, Pontevedra (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pontevedra (city)
Context triple: [Pontevedra, contains, Pontevedra (city)]
  • A. Pontevedra chosen
    Pontevedra is a coastal province in northwestern Spain known for its historic towns, Atlantic landscapes, and location within the autonomous community of Galicia.
  • B. Pontevedra
    Pontevedra is a coastal municipality in the province of Capiz in the Philippines, known for its fishing communities and agricultural economy.
  • C. A Coruña
    A Coruña is a coastal city in northwestern Spain known for its historic lighthouse, the Tower of Hercules, and its role as an important cultural and economic center in the region.
  • D. Ferrol
    Ferrol is a coastal city and major naval shipbuilding center in the Galicia region of northwestern Spain.
  • E. Puerto Real
    Puerto Real is a coastal town in the province of Cádiz, Andalusia, Spain, known for its maritime heritage and role as an educational and industrial hub in the Bay of Cádiz.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cadf1dcc6c8190b3c6ee4ff7808e02 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb137f224881908731d47547584a8e completed March 31, 2026, 12:21 a.m.
Created at: March 30, 2026, 4:21 p.m.