Triple

T9091795
Position Surface form Disambiguated ID Type / Status
Subject Santiago Province E217904 entity
Predicate contains P35 FINISHED
Object La Pintana E693781 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: La Pintana | Statement: [Santiago Province, contains, La Pintana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Pintana
Context triple: [Santiago Province, contains, La Pintana]
  • A. La Pintana chosen
    La Pintana is a commune in the Santiago Metropolitan Region of Chile, known for its predominantly residential character and significant social and urban development challenges.
  • B. Santena
    Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
  • C. Cardona
    Cardona is a lakeside municipality in the Philippine province of Rizal known for its fishing industry and views of Laguna de Bay.
  • D. La Peineta
    La Peineta was a former athletics and football stadium in Madrid that served as the precursor to the modern Cívitas Metropolitano, home of Atlético Madrid.
  • E. Baarìa
    Baarìa is an Italian epic drama film directed by Giuseppe Tornatore that chronicles several generations of life, politics, and love in a Sicilian town.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b18b24819097b525ddad3a85c0 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017ecc8b4819094dc0b009484ec00 completed April 3, 2026, 7:41 p.m.
Created at: March 30, 2026, 7:14 p.m.