Triple

T5608111
Position Surface form Disambiguated ID Type / Status
Subject PGUM E147283 entity
Predicate FAAIdentifier P420 FINISHED
Object GUM E147282 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: GUM | Statement: [PGUM, FAAIdentifier, GUM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GUM
Context triple: [PGUM, FAAIdentifier, GUM]
  • A. GUM chosen
    GUM is the IATA airport code for Antonio B. Won Pat International Airport, the main commercial airport serving Guam in the western Pacific.
  • B. GUM
    GUM is a historic and iconic department store located on Red Square in Moscow, Russia, known for its grand architecture and luxury retail offerings.
  • C. Gumm
    Gumm is the birth surname of American actress and singer Judy Garland, originally Frances Ethel Gumm.
  • D. GRO
    GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
  • E. MUC
    MUC is the abbreviation for the Meritorious Unit Commendation, a U.S. military unit award recognizing exceptionally meritorious conduct in the performance of outstanding services.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020fd1b2c81908da154f7e11b90d8 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d4465388190b28f47f11e133b6a completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:39 p.m.