Triple

T11840462
Position Surface form Disambiguated ID Type / Status
Subject Itarsi E281636 entity
Predicate railwayStationCode P1289 FINISHED
Object ET E248084 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: ET | Statement: [Itarsi, railwayStationCode, ET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ET
Context triple: [Itarsi, railwayStationCode, ET]
  • A. ET
    ET is the time standard used on the east coast of North America, including major cities like New York and Toronto, switching between Eastern Standard Time (EST) and Eastern Daylight Time (EDT) seasonally.
  • B. ET chosen
    ET is the two-letter IATA airline designator assigned to Ethiopian Airlines, the flag carrier of Ethiopia.
  • C. TE
    TE was the IATA airline designator code used by Tasman Empire Airways Limited, the former international airline of New Zealand.
  • D. ERT
    ERT is an acronym commonly used to refer to an Emergency Response Team, a specialized group trained to react quickly and effectively to crises or hazardous incidents.
  • E. ETS
    ETS is a nonprofit organization that develops and administers standardized tests and assessments used worldwide for education, certification, and professional licensing.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a658f918819092c2db05fe2ab0ce completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1678668ac81909bddf67e8c176757 completed April 29, 2026, 2:05 a.m.
Created at: April 8, 2026, 9:43 p.m.