Triple

T6784590
Position Surface form Disambiguated ID Type / Status
Subject FIRST Tech Challenge E155767 entity
Predicate foundedBy P104 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, foundedBy, FIRST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FIRST
Context triple: [FIRST Tech Challenge, foundedBy, 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. IRST
    IRST (Iran Standard Time) is the time zone used throughout Iran, set 3.5 hours ahead of Coordinated Universal Time (UTC+3:30).
  • D. First of the First
    First of the First is the nickname of the 1st Battalion, 1st Marines, a storied infantry battalion of the United States Marine Corps known for its long combat history.
  • E. Up First
    Up First is NPR's daily morning news podcast that delivers a concise roundup of the day's top stories.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d28bdc3c8190aa60616d89db66ed completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74253f9b4819099057c730237c269 completed March 28, 2026, 2:52 a.m.
Created at: March 27, 2026, 2:14 p.m.