Triple

T18439567
Position Surface form Disambiguated ID Type / Status
Subject Mopan River E450489 entity
Predicate flowsThrough P225 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: [Mopan River, flowsThrough, San Ignacio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Ignacio
Context triple: [Mopan River, flowsThrough, San Ignacio]
  • A. San Ignacio
    San Ignacio is a town in Paraguay’s Misiones Department known for its historical Jesuit mission heritage and regional cultural significance.
  • B. San Ignacio chosen
    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.
  • C. San Ignacio
    San Ignacio is a municipality in the Mexican state of Sinaloa known for its rural communities, mining history, and scenic river valleys.
  • D. San Ignacio
    San Ignacio is a town in western Honduras known as a small rural community within the Francisco Morazán Department.
  • E. San Ignacio
    San Ignacio is a small town in Chile’s Ñuble Region, serving as a local agricultural and service center within Diguillín Province.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0fda908190901a108fb9982a2d completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:30 a.m.