Triple

T638006
Position Surface form Disambiguated ID Type / Status
Subject 10BASE2 E16666 entity
Predicate usesVampireTaps P18351 FINISHED
Object no 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: no | Statement: [10BASE2, usesVampireTaps, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesVampireTaps
Context triple: [10BASE2, usesVampireTaps, no]
  • A. hasNumberOfDrops
    Indicates the quantity or count of drops associated with an entity or event.
  • B. usesVesselType
    Indicates that an entity performs an activity or operation by employing a specific type or category of vessel.
  • C. isTypicallyFilledWith
    Indicates that one entity is commonly or usually occupied, loaded, or contained by another entity.
  • D. hasTeeType
    Indicates that an entity (typically a golf hole or course) is associated with a specific type or category of tee.
  • E. numberOfCapsules
    Indicates the quantity or count of capsules associated with an entity or event.
  • F. None of above. chosen

Provenance (4 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a17b125481909a6ab53424954792 completed March 1, 2026, 8:28 p.m.
PD Predicate disambiguation batch_69a49d0629308190bcc137639567f7c2 completed March 1, 2026, 8:09 p.m.
PDg Predicate description generation batch_69a4a1794a60819092b3dc3344426ed7 completed March 1, 2026, 8:28 p.m.
Created at: March 1, 2026, 7:35 p.m.