Triple

T20462739
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Mulegé E501967 entity
Predicate containsSettlement P847 FINISHED
Object San Ignacio 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 Ignacio | Statement: [Municipality of Mulegé, containsSettlement, San Ignacio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Ignacio
Context triple: [Municipality of Mulegé, containsSettlement, San Ignacio]
  • A. San Ignacio
    San Ignacio is a popular inland town in western Belize known as a cultural hub and gateway to nearby Maya archaeological sites and rainforest adventures.
  • B. San Ignacio
    San Ignacio is a town in western Honduras known as a small rural community within the Francisco Morazán Department.
  • C. San Ignacio chosen
    San Ignacio is a historic oasis town in the Mulegé municipality of Baja California Sur, Mexico, known for its colonial mission and lush palm groves in the surrounding desert.
  • D. San Ignacio
    San Ignacio is a small town in Chile’s Ñuble Region, serving as a local agricultural and service center within Diguillín Province.
  • E. San Ignacio
    San Ignacio is a town in Paraguay’s Misiones Department known for its historical Jesuit mission heritage and regional cultural significance.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a761648190b24cf4bb90a8abb1 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.