Triple

T22162572
Position Surface form Disambiguated ID Type / Status
Subject Western Guatemala E547707 entity
Predicate hasMajorCity P316 FINISHED
Object Totonicapán E388694 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: Totonicapán | Statement: [Western Guatemala, hasMajorCity, Totonicapán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Totonicapán
Context triple: [Western Guatemala, hasMajorCity, Totonicapán]
  • A. Totonicapán chosen
    Totonicapán is a town in western Guatemala known for its indigenous K’iche’ Maya population, traditional textiles, and role as the capital of the department of the same name.
  • B. Comalapa
    Comalapa is a rural municipality in Nicaragua’s Chontales Department, known for its agricultural economy and small-town character.
  • C. Comalcalco
    Comalcalco is a city in the Mexican state of Tabasco known for its nearby Maya archaeological site built with brick structures.
  • D. San José Pinula
    San José Pinula is a municipality and suburban town located near Guatemala City in the Guatemala Department of Guatemala.
  • E. Nojpetén
    Nojpetén was the last independent Maya capital city, located on an island in Lake Petén Itzá in present-day Guatemala.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a2e47a88190a3b5c05398605f68 completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1241fec8819094e8555adece1160 completed May 18, 2026, 1:21 p.m.
Created at: April 16, 2026, 8:34 p.m.