Triple

T5306634
Position Surface form Disambiguated ID Type / Status
Subject Ego Alley E120117 entity
Predicate typicalVessels P11978 FINISHED
Object pleasure boats 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: pleasure boats | Statement: [Ego Alley, typicalVessels, pleasure boats]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalVessels
Context triple: [Ego Alley, typicalVessels, pleasure boats]
  • A. featuresVessel
    Indicates that one entity includes, presents, or prominently displays a particular vessel as part of its composition, content, or configuration.
  • B. shipTypeInvolved
    Indicates that a particular type or class of ship is involved or participates in a specified event, situation, or relationship.
  • C. hasVesselType chosen
    Indicates that an entity is associated with or classified by a specific type of vessel (e.g., ship, boat, or container).
  • D. shipClass
    Indicates the classification or type category to which a particular ship belongs.
  • E. usesVesselType
    Indicates that an entity performs an activity or operation by employing a specific type or category of vessel.
  • 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd86f20f008190be7b5848af05f2b8 completed March 20, 2026, 5:42 p.m.
PD Predicate disambiguation batch_69bd84534f9c8190bc19d4812060768d completed March 20, 2026, 5:30 p.m.
Created at: March 20, 2026, 1:53 p.m.