Triple

T21882172
Position Surface form Disambiguated ID Type / Status
Subject AMRTS E540313 entity
Predicate hasAbbreviation P43 FINISHED
Object AMRTS NE NERFINISHED

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: AMRTS | Statement: [AMRTS, hasAbbreviation, AMRTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMRTS
Context triple: [AMRTS, hasAbbreviation, AMRTS]
  • A. AMRTS chosen
    AMRTS is the public bus transit system serving the city of Arcata, California and the surrounding Mad River area.
  • B. SimAnt
    SimAnt is a 1991 Maxis life simulation game designed by Will Wright in which players manage and expand an ant colony within a suburban backyard environment.
  • C. RimWorld
    RimWorld is a sci-fi colony simulation game known for its emergent storytelling, complex AI-driven events, and management of colonists on a distant planet.
  • D. M.U.L.E.
    M.U.L.E. is a classic 1983 multiplayer economic strategy game, renowned for its innovative blend of cooperation and competition and its lasting influence on the genre.
  • E. AMHQ
    AMHQ is a flagship morning news and weather program on The Weather Channel featuring forecasts, analysis, and coverage of major weather events.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118e890088190aa3023c78a99a536 completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:04 p.m.