Triple

T16975062
Position Surface form Disambiguated ID Type / Status
Subject Lempira Department E411788 entity
Predicate namedAfter P63 FINISHED
Object Lempira E400580 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: Lempira | Statement: [Lempira Department, namedAfter, Lempira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lempira
Context triple: [Lempira Department, namedAfter, Lempira]
  • A. Lempira chosen
    Lempira was a 16th-century Lenca chieftain and national hero of Honduras who led indigenous resistance against Spanish conquest.
  • B. Tingo María
    Tingo María is a city in central Peru known as the gateway to the Amazon and for its surrounding rainforest landscapes and national park.
  • C. Burque
    Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
  • D. Abimael
    Abimael is a masculine given name most notably associated with Abimael Guzmán, the leader of the Peruvian Maoist insurgent group Shining Path.
  • E. Enriquillo
    Enriquillo was a Taíno cacique (indigenous leader) on Hispaniola who led a notable early 16th-century rebellion against Spanish colonial rule.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18300c8819080c8bf19962754ba completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d4755ffc8190a5c861462e33d526 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.