Triple

T1937537
Position Surface form Disambiguated ID Type / Status
Subject GTE E41475 entity
Predicate tickerSymbol P1447 FINISHED
Object GTE E41475 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: GTE | Statement: [GTE, tickerSymbol, GTE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GTE
Context triple: [GTE, tickerSymbol, GTE]
  • A. GTE chosen
    GTE (General Telephone & Electronics Corporation) was a major U.S. telecommunications company that became one of the largest local telephone service providers before ultimately merging into Verizon.
  • B. GTE Hawaiian Tel
    GTE Hawaiian Tel was a regional telecommunications company in Hawaii that provided telephone and related communication services as part of GTE’s nationwide operations.
  • C. GTS
    GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
  • D. GTS
    GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
  • E. Genesys
    Genesys is a global customer experience and contact center technology company known for its cloud-based solutions that help businesses manage and optimize customer interactions.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2c752fc81909baf38ff1cdeb18c completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb52d04819097c3df9691551aaa completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.