Triple

T18274100
Position Surface form Disambiguated ID Type / Status
Subject SOCC E437688 entity
Predicate hasAbbreviation P43 FINISHED
Object SOCC 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: SOCC | Statement: [SOCC, hasAbbreviation, SOCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SOCC
Context triple: [SOCC, hasAbbreviation, SOCC]
  • A. SOCC chosen
    SOCC is NASA Goddard Space Flight Center’s primary facility for monitoring, controlling, and managing spacecraft operations.
  • B. SOCA
    SOCA was the United Kingdom’s former national law enforcement agency responsible for tackling serious and organized crime before being replaced by the National Crime Agency.
  • C. SOCCENT
    SOCCENT is the U.S. Central Command’s theater special operations component responsible for planning and conducting special operations across the Middle East and Central Asia.
  • D. SCO
    SCO is the official FIFA country code used to represent the Scotland national football team in international competitions and records.
  • E. SCO
    SCO is a Eurasian political, economic, and security alliance led by China and Russia that promotes regional cooperation among its member states.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50050d6688190b909a1c24e1dd3c9 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.