Triple

T16607409
Position Surface form Disambiguated ID Type / Status
Subject KPIX-TV E403479 entity
Predicate firstTelevisionStationInMarket P123512 FINISHED
Object true 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: true | Statement: [KPIX-TV, firstTelevisionStationInMarket, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstTelevisionStationInMarket
Context triple: [KPIX-TV, firstTelevisionStationInMarket, true]
  • A. firstTelevisionNetwork
    Indicates that one entity is the earliest or original television network associated with another entity (such as a person, show, or organization).
  • B. firstTelevisionBroadcast
    Indicates that the subject is the entity responsible for the earliest or inaugural television broadcast of the object.
  • C. firstTelevisionProgram
    Indicates that the subject entity is the earliest or initial television program associated with the object entity (such as a person, channel, or series).
  • D. firstTelecastOn
    Indicates the date or event on which something, typically a program or broadcast, was first shown on television.
  • E. firstAiredInMarket
    Indicates the date or time when a piece of content was initially broadcast or released in a specific market or region.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e36091de048190b40aa42b1a0681cc completed April 18, 2026, 10:44 a.m.
PD Predicate disambiguation batch_69e296aabc508190b3836a91b49113ad completed April 17, 2026, 8:23 p.m.
PDg Predicate description generation batch_69e2d7fb02f481908885a226c2191231 completed April 18, 2026, 1:01 a.m.
Created at: April 10, 2026, 5:17 a.m.