Triple

T1361180
Position Surface form Disambiguated ID Type / Status
Subject FIRST Tech Challenge E29101 entity
Predicate organizer P123 FINISHED
Object FIRST E28624 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: FIRST | Statement: [FIRST Tech Challenge, organizer, FIRST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FIRST
Context triple: [FIRST Tech Challenge, organizer, FIRST]
  • A. FIRST chosen
    FIRST (For Inspiration and Recognition of Science and Technology) is an international youth organization that runs robotics competitions and programs to inspire students’ interest and participation in science, technology, engineering, and math.
  • B. Unua
    Unua is an Oceanic language spoken by a small community in Vanuatu.
  • C. F
    F is the New York Stock Exchange ticker symbol for Ford Motor Company, the American multinational automaker known for mass-producing automobiles and pioneering assembly line manufacturing.
  • D. For the First Time
    "For the First Time" is a soulful R&B song by John Legend from his album "Love in the Future."
  • E. Mwanza
    Mwanza is a major port city in northwestern Tanzania, situated on the southern shores of Lake Victoria and serving as a key commercial and transport hub for the region.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b2fb448190bef31375169b4666 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde181b388190a2093f21717d5aa8 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:57 p.m.