Triple

T16532005
Position Surface form Disambiguated ID Type / Status
Subject Cayo District E401588 entity
Predicate contains P35 FINISHED
Object Caracol E166216 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: Caracol | Statement: [Cayo District, contains, Caracol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caracol
Context triple: [Cayo District, contains, Caracol]
  • A. Caracol
    Caracol is a small coastal town in northern Haiti known for its nearby industrial park and proximity to important marine and mangrove ecosystems.
  • B. Caracol chosen
    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.
  • C. Copán
    Copán is an ancient Maya city in present-day Honduras renowned for its elaborate stone sculptures, hieroglyphic inscriptions, and well-preserved archaeological remains.
  • D. Calakmul
    Calakmul is a major ancient Maya city and archaeological site in the jungles of Mexico’s Yucatán Peninsula, known for its massive pyramids and extensive ruins.
  • E. Playa Caracol
    Playa Caracol is a popular public beach in Cancún’s Hotel Zone known for its calm turquoise waters, soft white sand, and easy access to nearby shops and restaurants.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed8075c81908ff47396879abd0c completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00609129808190b893346e06deb944 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:15 a.m.