Triple

T8717097
Position Surface form Disambiguated ID Type / Status
Subject Centaurus E206922 entity
Predicate containsStar P1393 FINISHED
Object Menkent E481660 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: Menkent | Statement: [Centaurus, containsStar, Menkent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Menkent
Context triple: [Centaurus, containsStar, Menkent]
  • A. Menkent chosen
    Menkent is a prominent K-type giant star in the constellation Centaurus, visible to the naked eye and known for its orange hue.
  • B. Nakasero
    Nakasero is a central and upscale neighborhood in Kampala, Uganda, known for its government offices, embassies, hotels, and commercial centers.
  • C. Kohunlich
    Kohunlich is a large Maya archaeological site in southern Quintana Roo, Mexico, noted for its monumental architecture and well-preserved stucco masks.
  • D. Tampakan
    Tampakan is a landlocked municipality in South Cotabato, Philippines, best known as the site of one of the world’s largest undeveloped copper-gold deposits.
  • E. Tumut
    Tumut is a historic town in the Snowy Mountains region of New South Wales, Australia, known for its timber industry, scenic river landscapes, and role as a gateway to the Snowy Mountains Scheme.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd9c2a08190a65ab0ce573153d2 completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42998df88190a6eba28c2efb2030 completed April 3, 2026, 4:31 a.m.
Created at: March 30, 2026, 6:36 p.m.