Triple

T20143904
Position Surface form Disambiguated ID Type / Status
Subject Northeastern University (China) E491247 entity
Predicate abbreviation P43 FINISHED
Object NEU 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: NEU | Statement: [Northeastern University (China), abbreviation, NEU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NEU
Context triple: [Northeastern University (China), abbreviation, NEU]
  • A. NEU chosen
    NEU is a major public research university in Shenyang, China, known for its strong engineering, metallurgy, and applied science programs.
  • B. NE
    NE is the two-letter ISO 3166-1 alpha-2 country code assigned to Niger.
  • C. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • D. NE
    NE is the official two-letter United States Postal Service abbreviation used to designate the state of Nebraska.
  • E. NE
    NE is the Swiss vehicle registration code for the canton of Neuchâtel.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679cbc388190bb2b444a69a597a6 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.