Triple

T6327623
Position Surface form Disambiguated ID Type / Status
Subject EGNOS E141897 entity
Predicate similarTo P4460 FINISHED
Object WAAS E141896 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: WAAS | Statement: [EGNOS, similarTo, WAAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WAAS
Context triple: [EGNOS, similarTo, WAAS]
  • A. WAAS chosen
    WAAS (Wide Area Augmentation System) is a satellite-based augmentation system developed by the FAA to improve the accuracy, integrity, and availability of GPS signals for aviation and other precision navigation applications in North America.
  • B. GOES West
    GOES West is a U.S. geostationary weather satellite that continuously monitors atmospheric and environmental conditions over the western United States and adjacent Pacific regions.
  • C. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • D. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • E. WAS
    WAS is the standard three-letter abbreviation used for the NBA team Washington Wizards.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e9532081908277f10ec380a486 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c60410223081908c1cf3663d4b14c0 completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:29 p.m.