Triple

T6561615
Position Surface form Disambiguated ID Type / Status
Subject Itzaʼ E153795 entity
Predicate primaryCommunity P6194 FINISHED
Object San José, Petén E419547 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 José, Petén | Statement: [Itzaʼ, primaryCommunity, San José, Petén]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San José, Petén
Context triple: [Itzaʼ, 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 (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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae37a5b0819091692fc5def270b9 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb90ffd48190996a64d79f516e2c completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:52 p.m.