Triple

T36874621
Position Surface form Disambiguated ID Type / Status
Subject 1977 San Juan earthquake E911309 entity
Predicate countrySubdivisionAffected P109563 FINISHED
Object San Juan Province E253467 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: San Juan Province | Statement: [1977 San Juan earthquake, countrySubdivisionAffected, San Juan Province]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countrySubdivisionAffected
Context triple: [1977 San Juan earthquake, countrySubdivisionAffected, San Juan Province]
  • A. countrySubdivision
    Indicates that one geopolitical region is an administrative or territorial subdivision of a larger country.
  • B. associatedCountrySubdivision chosen
    Indicates a relationship where an entity is linked to a specific administrative subdivision (such as a state, province, or region) within a country.
  • C. countrySubdivisionServed
    Indicates a relationship where a service, organization, or entity operates within and provides its offerings to a specific administrative region or subdivision of a country.
  • D. realmSubdivision
    Indicates a hierarchical relationship where one realm is a constituent subdivision or part of a larger realm.
  • E. countrySubdivisionType
    Indicates the specific type or category of an administrative or territorial subdivision within a country (e.g., state, province, region).
  • F. None of above.

Provenance (4 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_69f76e82339881909607a65c0503d941 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a032b2285ac81908826f311a222c749 completed May 12, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3f69f94ec08190944b30ae0343d3aa completed June 27, 2026, 6:13 a.m.
PD Predicate disambiguation batch_6a032929b8b88190bf7d14d789b38aeb completed May 12, 2026, 1:20 p.m.
Created at: May 3, 2026, 4:13 p.m.