Triple

T11930613
Position Surface form Disambiguated ID Type / Status
Subject BMP-2 E283899 entity
Predicate waterPropulsion P44077 FINISHED
Object tracks LITERAL 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: tracks | Statement: [BMP-2, waterPropulsion, tracks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waterPropulsion
Context triple: [BMP-2, waterPropulsion, tracks]
  • A. boatPower
    Indicates a relationship where a boat is characterized by or associated with a specific power rating or propulsion strength.
  • B. waterSport
    Indicates participation in or association with a sport or recreational activity that takes place on or in water.
  • C. propulsionMedium chosen
    Indicates the medium or substance through which propulsion is generated or transmitted for movement.
  • D. propulsion
    Indicates a relationship where one entity provides the driving force or thrust that moves another entity forward or keeps it in motion.
  • E. waterTransport
    Indicates the movement or conveyance of something from one place to another via water-based means such as rivers, seas, or other aquatic routes.
  • F. None of above.

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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90303a9a88190a4044e6310ba9b4b completed April 10, 2026, 2:02 p.m.
PD Predicate disambiguation batch_69d8bb3af0188190bfb22be5c97b3349 completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:45 p.m.