Triple

T3660064
Position Surface form Disambiguated ID Type / Status
Subject Cybermats E77625 entity
Predicate enemyOf P437 FINISHED
Object UNIT E71115 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: UNIT | Statement: [Cybermats, enemyOf, UNIT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNIT
Context triple: [Cybermats, enemyOf, UNIT]
  • A. UNIT chosen
    UNIT is a fictional military intelligence organization in the Doctor Who universe that defends Earth from alien and supernatural threats.
  • B. U.N.I.T.Y.
    U.N.I.T.Y. is a Grammy-winning 1993 hip-hop single by Queen Latifah that became an anthem against sexism, street harassment, and violence toward women.
  • C. UNITED
    UNITED is the radio callsign used by pilots and air traffic control to identify and communicate with United Airlines flights.
  • D. Unit 777
    Unit 777 is an elite Egyptian special forces counter-terrorism unit known for high-risk hostage rescue and anti-terror operations.
  • E. UNCI
    UNCI is the acronym for the United Nations Commission for Indonesia, a UN body established to help resolve the Indonesian National Revolution and oversee the transition to independence from Dutch colonial rule.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d5e5f881909c7c105827d41071 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c39796648190a83a7f1a63c653bd completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:25 p.m.