Triple

T20939961
Position Surface form Disambiguated ID Type / Status
Subject PLA National Defence University E515692 entity
Predicate shortName P43 FINISHED
Object NDU 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: NDU | Statement: [PLA National Defence University, shortName, NDU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NDU
Context triple: [PLA National Defence University, shortName, NDU]
  • A. NDU chosen
    NDU is an abbreviation commonly used for National Defence University, a higher education institution focused on military and strategic studies.
  • B. NDNU
    NDNU is a private Catholic university in Belmont, California, known for its liberal arts and professional programs and its historic roots as one of the first institutions of higher education for women in the state.
  • C. NDH
    NDH was the fascist puppet state established by the Axis powers in World War II on the territory of occupied Croatia and Bosnia and Herzegovina.
  • D. ND
    ND is the commonly used abbreviation for New Democracy, a major center-right political party in Greece.
  • E. ND
    ND is the station code for Nadiad Junction, a key railway station in the Indian state of Gujarat.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f954e44481909098a0b23a687d5e completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:50 p.m.