Triple

T21884479
Position Surface form Disambiguated ID Type / Status
Subject HR 1852 E540369 entity
Predicate hasPrimaryComponent P15759 FINISHED
Object Mintaka A 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: Mintaka A | Statement: [HR 1852, hasPrimaryComponent, Mintaka A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mintaka A
Context triple: [HR 1852, hasPrimaryComponent, Mintaka A]
  • A. Mintaka chosen
    Mintaka is a bright multiple star system in the constellation Orion, forming one of the three prominent stars of Orion’s Belt.
  • B. Mitato
    Mitato is a small rural settlement located within the municipality of Sitia on the island of Crete, Greece.
  • C. Matakana
    Matakana is a small rural town in the Auckland Region of New Zealand, known for its vineyards, farmers’ market, and proximity to popular east coast beaches.
  • D. Nakanamanga
    Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
  • E. Metinaro
    Metinaro is a coastal town in northern Timor-Leste that hosts key military facilities and serves as an important strategic site for the country's defense forces.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118eabb008190ab6f1364ef4e6feb completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:05 p.m.