Triple

T8482515
Position Surface form Disambiguated ID Type / Status
Subject CASP13 E200552 entity
Predicate hasAbbreviation P43 FINISHED
Object CASP13 E200552 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: CASP13 | Statement: [CASP13, hasAbbreviation, CASP13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CASP13
Context triple: [CASP13, hasAbbreviation, CASP13]
  • A. CASP13 chosen
    CASP13 is the 13th Critical Assessment of protein Structure Prediction experiment, an international community-wide competition that benchmarks computational methods for predicting 3D protein structures.
  • B. CA-13
    CA-13 is a United States congressional district in California represented in the U.S. House of Representatives.
  • C. C-3a
    C-3a is a commuter rail line within the Cercanías Madrid network serving suburban areas around Spain’s capital.
  • D. CASC
    CASC is China’s main state-owned aerospace and defense contractor, responsible for the country’s space program, including launch vehicles, satellites, and related technologies.
  • E. NP13
    NP13 is a UK postal district within the NP postcode area, covering parts of south-east Wales including towns such as Abertillery.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53638c48190b742fc51d1b4442a completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a2b2e9081909f19712946c6ec20 completed April 2, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:12 p.m.