Triple

T9884539
Position Surface form Disambiguated ID Type / Status
Subject Temple 22 E180896 entity
Predicate locatedIn P40 FINISHED
Object Copán E33683 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: Copán | Statement: [Temple 22, locatedIn, Copán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copán
Context triple: [Temple 22, locatedIn, Copán]
  • A. Copán chosen
    Copán is an ancient Maya city in present-day Honduras renowned for its elaborate stone sculptures, hieroglyphic inscriptions, and well-preserved archaeological remains.
  • B. San Luis de Palenque
    San Luis de Palenque is a rural municipality in eastern Colombia known for its cattle ranching, llanero (plains) culture, and location within the Orinoquía region.
  • C. Palenque
    Palenque is an ancient Maya city in modern-day Chiapas, Mexico, renowned for its well-preserved temples, palaces, and intricate inscriptions.
  • D. Caracol
    Caracol is a small coastal town in northern Haiti known for its nearby industrial park and proximity to important marine and mangrove ecosystems.
  • E. Caracol
    Caracol is a large ancient Maya city in present-day Belize, known for its extensive ruins, monumental architecture, and historical significance as a powerful regional 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb45549488190833200977d558e47 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eaf6a5848190ad031bdb195cd4ce completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:38 p.m.