Triple

T18258095
Position Surface form Disambiguated ID Type / Status
Subject Go.com E437267 entity
Predicate associatedWith P37 FINISHED
Object ABC 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: ABC | Statement: [Go.com, associatedWith, ABC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABC
Context triple: [Go.com, associatedWith, ABC]
  • A. ABC
    ABC is the commonly used abbreviation for the Brazilian Academy of Sciences, a leading scientific society that promotes research and scientific development in Brazil.
  • B. ABC
    ABC is the IATA airport code for Albacete Air Base, a military airfield located near Albacete in Spain.
  • C. ABC
    ABC is the stock ticker symbol for Abcam, a global life sciences company specializing in research antibodies, reagents, and related tools.
  • D. ABC
    ABC is a common abbreviation for Adventist Book Centers, a network of retail outlets specializing in Seventh-day Adventist literature and related products.
  • E. ABC chosen
    ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd8879e88190893f8da7c3529496 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:34 a.m.