Triple

T21544349
Position Surface form Disambiguated ID Type / Status
Subject Maraita E531579 entity
Predicate hasOfficialName P66 FINISHED
Object Maraita NE NERFINISHED

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: Maraita | Statement: [Maraita, hasOfficialName, Maraita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maraita
Context triple: [Maraita, hasOfficialName, Maraita]
  • A. Maraita chosen
    Maraita is a small municipality located in the Francisco Morazán Department of central Honduras.
  • B. Matiari
    Matiari is a town in Pakistan’s Sindh province that serves as a key power hub and terminal point for major national electricity transmission infrastructure.
  • C. Matareya
    Matareya is a prominent Thoroughbred racehorse known for her success as a top-level sprinter-miler in the United States.
  • D. Matareya
    Matareya is a district in northeastern Cairo, Egypt, known for its ancient Heliopolis archaeological remains and historic religious sites.
  • E. Paquisha
    Paquisha is a locality in southeastern Ecuador known primarily for giving its name to the 1981 Paquisha War between Ecuador and Peru.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58d66ec8190b654a46932c841d3 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.