Triple

T4628249
Position Surface form Disambiguated ID Type / Status
Subject Ford Field E101150 entity
Predicate surface P1242 FINISHED
Object FieldTurf E2475 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: FieldTurf | Statement: [Ford Field, surface, FieldTurf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FieldTurf
Context triple: [Ford Field, surface, FieldTurf]
  • A. FieldTurf chosen
    FieldTurf is a brand of synthetic turf designed to mimic natural grass and commonly used in sports stadiums and athletic fields.
  • B. West Field
    West Field is a former World War II airfield on the island of Tinian in the Northern Mariana Islands, historically used by the United States Army Air Forces for B-29 bomber operations.
  • C. Merlo Field
    Merlo Field is a soccer-specific stadium in Portland, Oregon, best known as the on-campus home venue for the University of Portland’s soccer programs.
  • D. Exhibition Field
    Exhibition Field was the earlier name of Saint Petersburg’s historic Field of Mars, a central open space later used for military parades and public ceremonies.
  • E. Tiguex Park
    Tiguex Park is a public green space in Albuquerque, New Mexico, known for its recreational areas and proximity to the historic Old Town district.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a2e9780819081add547c760abc9 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfab4f4808190920e420f566dec9b completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:13 p.m.