Triple

T22598266
Position Surface form Disambiguated ID Type / Status
Subject Trip at Knight E574742 entity
Predicate hasPart P35 FINISHED
Object MP5 E204775 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: MP5 | Statement: [Trip at Knight, hasPart, MP5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MP5
Context triple: [Trip at Knight, hasPart, MP5]
  • A. MP5 submachine gun chosen
    The MP5 submachine gun is a widely used 9×19mm firearm renowned for its reliability, accuracy, and extensive adoption by military and law enforcement units worldwide.
  • B. MP-43
    MP-43 is the regional vehicle registration code assigned to the Ratlam district in the Indian state of Madhya Pradesh.
  • C. HK MP5 series
    The HK MP5 series is a renowned family of 9mm submachine guns developed by Heckler & Koch, widely used by military and law enforcement units around the world for its reliability, accuracy, and compact design.
  • D. K5 pistol
    The K5 pistol is a South Korean semi-automatic handgun widely used by the Republic of Korea Armed Forces as their primary service sidearm.
  • E. FN Five-seveN pistol
    The FN Five-seveN pistol is a lightweight, semi-automatic handgun chambered in 5.7×28mm, known for its high magazine capacity, low recoil, and use by military and law enforcement units worldwide.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1626aa0808190a43e65f6aaabfeb4 completed April 29, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d63af408190b295665954b2ea6b completed May 18, 2026, 4:25 p.m.
Created at: April 17, 2026, 2:50 p.m.