Triple

T2910322
Position Surface form Disambiguated ID Type / Status
Subject Philips Arena E63665 entity
Predicate publicTransit P1288 FINISHED
Object MARTA E14659 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: MARTA | Statement: [Philips Arena, publicTransit, MARTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MARTA
Context triple: [Philips Arena, publicTransit, MARTA]
  • A. MARTA Bus
    MARTA Bus is the public bus transit system serving the Atlanta metropolitan area as part of the region’s primary mass transit network.
  • B. Metropolitan Atlanta Rapid Transit Authority (MARTA) chosen
    The Metropolitan Atlanta Rapid Transit Authority (MARTA) is the primary public transportation agency serving the Atlanta metropolitan area, operating a network of heavy rail, bus, and paratransit services.
  • C. M train
    The M train is a New York City Subway service that runs through parts of Queens, Brooklyn, and Manhattan, connecting neighborhoods such as Middle Village and Forest Hills with Midtown and Lower Manhattan.
  • D. O-Train
    The O-Train is Ottawa’s urban rail transit system, providing light rail service across key corridors of Canada’s capital city.
  • E. STL Metro
    STL Metro is a public transit system serving the St. Louis metropolitan area with buses and light rail 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0e899808190a348e1e71116d0a5 completed March 7, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0561b8e6c8190be69fd39bdd19cca completed March 10, 2026, 5:34 p.m.
Created at: March 6, 2026, 10:11 p.m.