Triple

T20072944
Position Surface form Disambiguated ID Type / Status
Subject Itzaʼ language E499783 entity
Predicate primaryCommunity P6194 FINISHED
Object San José, Petén NE NERFINISHED

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 José, Petén | Statement: [Itzaʼ language, primaryCommunity, San José, Petén]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San José, Petén
Context triple: [Itzaʼ language, primaryCommunity, San José, Petén]
  • A. San José, Petén chosen
    San José, Petén is a small lakeside town in northern Guatemala known for its tranquil setting on Lake Petén Itzá and proximity to major Maya archaeological sites.
  • B. San Luis, Petén
    San Luis, Petén is a municipality in northern Guatemala known for its rural Maya communities and location within the sparsely populated, jungle-covered Petén region.
  • C. San Miguel, Petén
    San Miguel, Petén is a small town in northern Guatemala located within the largely rural and forested Petén Department.
  • D. Santa Ana, Petén
    Santa Ana, Petén is a municipality in northern Guatemala located within the largely forested and sparsely populated Petén Department.
  • E. San Francisco, Petén
    San Francisco, Petén is a municipality in northern Guatemala located within the largely forested and sparsely populated Petén Department.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e664392c748190a6cc472f80b8c74b completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:40 p.m.