Triple

T16143543
Position Surface form Disambiguated ID Type / Status
Subject College of Science (Northeastern University) E391720 entity
Predicate shortName P43 FINISHED
Object COS E391720 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: COS | Statement: [College of Science (Northeastern University), shortName, COS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COS
Context triple: [College of Science (Northeastern University), shortName, COS]
  • A. COS
    COS is the IATA airport code for Colorado Springs Airport, a commercial airport serving Colorado Springs, Colorado, in the United States.
  • B. COS
    COS is the French Armed Forces' elite joint command responsible for planning and conducting special operations.
  • C. COS chosen
    COS is the College of Science at Northeastern University, encompassing disciplines such as biology, chemistry, physics, mathematics, and related scientific fields.
  • D. COS
    COS is a contemporary fashion brand known for its minimalist, modern designs and high-quality wardrobe essentials.
  • E. COS
    COS is a Hubble Space Telescope instrument designed to study the origins and evolution of the universe by analyzing the ultraviolet light from distant astronomical objects.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d91925c81909839a4e2f189d23b completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b9322c8190a773681679f9ad79 completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.