Triple

T4377899
Position Surface form Disambiguated ID Type / Status
Subject Surco E99052 entity
Predicate shortName P43 FINISHED
Object Surco E99052 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: Surco | Statement: [Surco, shortName, Surco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surco
Context triple: [Surco, shortName, Surco]
  • A. Surco chosen
    Surco is a populous and upscale district in Lima, Peru, known for its residential areas, shopping centers, and green spaces.
  • B. Interlomas
    Interlomas is an upscale residential and commercial district in the municipality of Huixquilucan, known for its modern shopping centers, high-rise developments, and proximity to Mexico City.
  • C. Balboa Heights
    Balboa Heights is a residential and administrative area in the former Panama Canal Zone, historically associated with the management and operation of the Panama Canal.
  • D. Lerdo
    Lerdo is a municipality and city in the Mexican state of Durango, known for its agricultural production and location within the Comarca Lagunera metropolitan area.
  • E. Presidio Heights
    Presidio Heights is an affluent residential neighborhood in San Francisco known for its upscale homes, quiet streets, and proximity to the Presidio parklands.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3523ed220819090cef1a7933489d9 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e51907688190ad964d341eb84529 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:18 p.m.