Triple

T9752632
Position Surface form Disambiguated ID Type / Status
Subject Dim E236476 entity
Predicate hasAllegiance P1201 FINISHED
Object Flik's ant colony E236467 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: Flik's ant colony | Statement: [Dim, hasAllegiance, Flik's ant colony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flik's ant colony
Context triple: [Dim, hasAllegiance, Flik's ant colony]
  • A. The Ant
    The Ant is the English title of the 27th chapter (Surah An-Naml) of the Qur’an, which features the story of Prophet Solomon and his interaction with an ant.
  • B. A Bug's Land
    A Bug's Land was a former themed area at Disney California Adventure based on Pixar’s “A Bug’s Life,” featuring kid-friendly rides and immersive oversized garden theming.
  • C. Flik chosen
    Flik is the inventive and well-meaning ant protagonist of Pixar's animated film "A Bug's Life."
  • D. The Ants
    The Ants is a Pulitzer Prize–winning scientific book that provides a comprehensive and authoritative overview of ant biology, behavior, and social organization.
  • E. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fae332c8190b11f0258b5a5ae2b completed April 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b0288b808190821287a2cc54025d completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:24 p.m.