Triple

T4917362
Position Surface form Disambiguated ID Type / Status
Subject Tepanec War E110380 entity
Predicate hasParticipant P149 FINISHED
Object Chalco E88248 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: Chalco | Statement: [Tepanec War, hasParticipant, Chalco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chalco
Context triple: [Tepanec War, hasParticipant, Chalco]
  • A. Chalco chosen
    Chalco is a municipality in the State of Mexico, part of the Mexico City metropolitan area, known historically as a pre-Hispanic settlement near Lake Chalco.
  • B. Tultitlán
    Tultitlán is a municipality in the State of Mexico within the Greater Mexico City metropolitan area, known for its dense urban development and industrial activity.
  • C. Comalcalco
    Comalcalco is a city in the Mexican state of Tabasco known for its nearby Maya archaeological site built with brick structures.
  • D. Apatzingán
    Apatzingán is a city in the Mexican state of Michoacán, historically notable as a key site in the country’s early independence movement.
  • E. Cobá
    Cobá is an ancient Maya city in Mexico’s Yucatán Peninsula, known for its extensive network of sacbeob (raised stone roads) and towering pyramid structures amid dense jungle.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6fa760448190946401b4b21ea8b7 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed90711188190942aefd5da31496d completed March 21, 2026, 5:44 p.m.
Created at: March 20, 2026, 1:29 p.m.