Triple

T22205043
Position Surface form Disambiguated ID Type / Status
Subject Meerut City railway station E548782 entity
Predicate hasAbbreviation P43 FINISHED
Object MTC 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: MTC | Statement: [Meerut City railway station, hasAbbreviation, MTC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTC
Context triple: [Meerut City railway station, hasAbbreviation, MTC]
  • A. MTC
    MTC is a regional planning and transportation agency that coordinates and funds transit, highways, and other mobility projects in the San Francisco Bay Area.
  • B. MTC chosen
    MTC is the station code for Meerut City railway station, a major rail hub in the city of Meerut, Uttar Pradesh, India.
  • C. MTC
    MTC is the three-letter station code used to identify Mornington Crescent tube station on the London Underground network.
  • D. MRTC
    MRTC is the Marine Raider Training Center, the primary U.S. Marine Corps Special Operations Command facility responsible for training and preparing Marine Raiders for special operations missions.
  • E. MTU
    MTU is a major engineering and technological university located in Mandalay, Myanmar, known for training engineers and conducting applied research.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b27451081908c29d1915b6c4229 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.