Triple

T16532449
Position Surface form Disambiguated ID Type / Status
Subject Orange Walk District E401599 entity
Predicate hasHeritageSite P923 FINISHED
Object Lamanai E401600 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: Lamanai | Statement: [Orange Walk District, hasHeritageSite, Lamanai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamanai
Context triple: [Orange Walk District, hasHeritageSite, Lamanai]
  • A. Lamanai chosen
    Lamanai is a major ancient Maya archaeological site in northern Belize, known for its impressive temple ruins and long period of continuous occupation.
  • B. Bayano
    Bayano was a prominent 16th-century leader of a major slave rebellion in Panama, remembered as a symbol of resistance against Spanish colonial rule.
  • C. Guamote
    Guamote is a rural town and canton in Ecuador known for its indigenous Kichwa culture, traditional markets, and highland Andean landscapes.
  • D. Capoocan
    Capoocan is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
  • E. Olmué
    Olmué is a small town in Chile’s Valparaíso Region known for its rural charm, traditional festivals, and proximity to the coastal range and natural attractions.
  • 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_69e32ed97b0881909de106418aca8180 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ed808448190936ea51a9a28a95a completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:15 a.m.