Triple

T15809155
Position Surface form Disambiguated ID Type / Status
Subject Capuchino High School E383298 entity
Predicate mascot P52 FINISHED
Object Mustang E1053652 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: Mustang | Statement: [Capuchino High School, mascot, Mustang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mustang
Context triple: [Capuchino High School, mascot, Mustang]
  • A. Mustang
    Mustang is a small suburban city in central Oklahoma known for its family-oriented community and proximity to Oklahoma City.
  • B. Mustang
    Mustang is a remote, historically Tibetan-influenced region in north-central Nepal known for its arid Himalayan landscapes, ancient monasteries, and trekking routes.
  • C. Mustang chosen
    Mustang is a free-roaming, wild horse of the American West, often symbolizing independence, strength, and untamed spirit.
  • D. The Mustang
    The Mustang is a 2019 drama film about a violent convict who begins to rehabilitate himself through a prison wild-horse training program.
  • E. The Shelby Star
    The Shelby Star is a local newspaper serving the community of Shelby and the surrounding area in North Carolina with news, sports, and community coverage.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b529c6b481909664153ecc381f7c completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff999210148190baa6dcb19be3a1d3 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.