Triple

T15780656
Position Surface form Disambiguated ID Type / Status
Subject Halley IV E382604 entity
Predicate follows P134 FINISHED
Object Halley III E379151 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: Halley III | Statement: [Halley IV, follows, Halley III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Halley III
Context triple: [Halley IV, follows, Halley III]
  • A. Halley III chosen
    Halley III was an early iteration of the British Antarctic Survey’s Halley Research Station, used for scientific research on the Brunt Ice Shelf in Antarctica.
  • B. Halley IV
    Halley IV was a later iteration of the British Antarctic Survey’s Halley Research Station, used for scientific research on the Brunt Ice Shelf in Antarctica.
  • C. Halley II
    Halley II was an early British Antarctic research station on the Brunt Ice Shelf, used primarily for geophysical and atmospheric science studies.
  • D. Halley
    Halley is the surname of the English astronomer and mathematician Edmund Halley, best known for computing the orbit of the periodic comet that now bears his name.
  • E. Halley
    Halley is a struggling young mother living in a budget motel near Disney World in the film "The Florida Project," known for her reckless behavior and complicated relationship with her daughter.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e053fea90081908e3fe4f91475bead completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff909f7f4481909cceb32e26af3780 completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.