Triple

T8959308
Position Surface form Disambiguated ID Type / Status
Subject Sue Smith E213557 entity
Predicate wroteFor P1996 FINISHED
Object RAN unclear NED1 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: RAN | Statement: [Sue Smith, wroteFor, RAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RAN
Context triple: [Sue Smith, wroteFor, RAN]
  • A. RAN
    The Royal Australian Navy (RAN) is the naval branch of the Australian Defence Force, responsible for conducting maritime military operations and protecting Australia's maritime interests.
  • B. RAN
    RAN is the 3GPP working group responsible for specifying the radio access network technologies used in mobile communication systems such as LTE and 5G.
  • C. RANR
    RANR is the Royal Australian Naval Reserve, the volunteer reserve force that supports the Royal Australian Navy with trained personnel for both peacetime and operational duties.
  • D. Ranst
    Ranst is a municipality in the Belgian province of Antwerp, known for its rural character and proximity to the city of Antwerp.
  • E. RJ Navy
    RJ Navy is the maritime warfare branch of Jordan’s armed forces, responsible for protecting the nation’s territorial waters and maritime interests.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc672b12b48190a9d964f79b96d237 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc946a2f88190b7cd0fca67d31dfd completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 7 p.m.