Triple

T7722441
Position Surface form Disambiguated ID Type / Status
Subject External Tank E175045 entity
Predicate abbreviation P43 FINISHED
Object ET E1522 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: [External Tank, abbreviation, ET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ET
Context triple: [External Tank, abbreviation, ET]
  • A. ET
    ET is the two-letter IATA airline designator assigned to Ethiopian Airlines, the flag carrier of Ethiopia.
  • B. ET chosen
    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.
  • C. 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.
  • D. ETS
    ETS is a nonprofit organization that develops and administers standardized tests and assessments used worldwide for education, certification, and professional licensing.
  • E. ETS
    ETS is the abbreviation for the Educational and Training Services Branch, a unit responsible for developing and delivering education and training programs.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702f1786881908b025d8986e5f1fa completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b51b612881909f20a6b777db348c completed March 29, 2026, 5:14 a.m.
Created at: March 27, 2026, 4:05 p.m.