Triple

T2532451
Position Surface form Disambiguated ID Type / Status
Subject Porky Pig E56191 entity
Predicate endLineUsage P39415 FINISHED
Object often delivers closing line of cartoons 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: often delivers closing line of cartoons | Statement: [Porky Pig, endLineUsage, often delivers closing line of cartoons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: endLineUsage
Context triple: [Porky Pig, endLineUsage, often delivers closing line of cartoons]
  • A. lineUses
    Indicates that a particular line (such as a route, service, or connection) makes use of or is implemented using a specified resource, infrastructure, or element.
  • B. usesLineCode
    Indicates that one entity employs or references a specific line code as part of its operation, identification, or communication.
  • C. usedTerminal
    Indicates that an entity made use of or interacted with a particular terminal or endpoint device.
  • D. line6Terminus
    Indicates the station or location where transit line 6 ends its route or service.
  • E. alsoUsedOnLine
    Indicates that something used in one context, medium, or location is additionally used on a specific line (such as a route, circuit, or sequence).
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd279cf108190b03fb6e0265f39d9 completed March 7, 2026, 7:23 a.m.
PD Predicate disambiguation batch_69abd0c2e34c8190a914d5c2afba147c completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd18e72a88190bdcf12b326d42fad completed March 7, 2026, 7:19 a.m.
Created at: March 6, 2026, 9:47 p.m.