Triple

T13427938
Position Surface form Disambiguated ID Type / Status
Subject Chiapas Highlands E313531 entity
Predicate containsArchaeologicalSite P11933 FINISHED
Object Toniná E270166 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: Toniná | Statement: [Chiapas Highlands, containsArchaeologicalSite, Toniná]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toniná
Context triple: [Chiapas Highlands, containsArchaeologicalSite, Toniná]
  • A. Toniná chosen
    Toniná is an ancient Maya archaeological site in Chiapas, Mexico, known for its towering acropolis, intricate stone carvings, and evidence of powerful Classic-period warfare and politics.
  • B. Tejutla
    Tejutla is a municipality located in the highland region of western Guatemala, known for its rural communities and traditional agricultural activities.
  • C. Tototlán
    Tototlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural economy and traditional regional culture.
  • D. Tonalá
    Tonalá is a municipality and city in the Guadalajara metropolitan area of Jalisco, Mexico, known for its traditional pottery and handicrafts.
  • E. Tehuacán
    Tehuacán is a major city in southeastern Mexico known historically for its mineral springs, agricultural production, and role as a regional commercial center.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed1f9208190bf5ef5b8a7ded376 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942242cc8190aa94efae75370328 completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 9:40 p.m.