Triple

T6348438
Position Surface form Disambiguated ID Type / Status
Subject Mi-17 E142804 entity
Predicate NATOReportingName P6062 FINISHED
Object Hip E165435 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: Hip | Statement: [Mi-17, NATOReportingName, Hip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hip
Context triple: [Mi-17, NATOReportingName, Hip]
  • A. Hip chosen
    Hip is the NATO reporting name for the Soviet-designed Mil Mi-8, a widely used medium twin-turbine transport helicopter employed by numerous military and civilian operators worldwide.
  • B. Hit
    Hit is an ancient Iraqi town on the Euphrates River in Al Anbar Governorate, historically known for its bitumen springs and strategic location.
  • C. Namba Hips
    Namba Hips is a distinctive commercial and entertainment complex in Osaka’s Namba district, known for its striking curved façade and shopping, dining, and leisure facilities.
  • D. Hish
    Hish was a field corps branch of the Haganah, the main Jewish paramilitary organization in Mandatory Palestine before the establishment of the State of Israel.
  • E. Hung
    Hung is an American comedy-drama television series that aired on HBO, following a struggling high school coach who turns to an unusual side job to make ends meet.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067bba1988190b51f0a22e4279e1b completed March 22, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6044b33fc8190a214c6615d072715 completed March 27, 2026, 4:15 a.m.
Created at: March 22, 2026, 4:31 p.m.