Triple

T17095023
Position Surface form Disambiguated ID Type / Status
Subject Oakdale E414823 entity
Predicate hasFictionalMediaOutlet P125065 FINISHED
Object WOAK-TV E1250060 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: WOAK-TV | Statement: [Oakdale, hasFictionalMediaOutlet, WOAK-TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WOAK-TV
Context triple: [Oakdale, hasFictionalMediaOutlet, WOAK-TV]
  • A. WOAK television station chosen
    WOAK is a fictional television station featured in the long-running American soap opera "As the World Turns," serving as a key workplace and plot setting for several characters.
  • B. WSAW-TV
    WSAW-TV is a local television station serving the Wausau, Wisconsin area, providing news, weather, and entertainment programming to regional viewers.
  • C. WNAC-TV
    WNAC-TV was a Boston-based television station that served as a major network affiliate and broadcast outlet in New England during much of the 20th century.
  • D. WABI-TV
    WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
  • E. WAAY-TV
    WAAY-TV is a television station based in Huntsville, Alabama, known for its local news and sports broadcasting.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfc9158819081689d3d594a1908 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139fbcbc08190be2a96d03daf0384 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:35 a.m.