Triple

T3149654
Position Surface form Disambiguated ID Type / Status
Subject Fox Television Stations E65844 entity
Predicate ownsStation P19286 FINISHED
Object WOFL
WOFL is a Fox-affiliated television station serving the Orlando, Florida media market.
 E331307 NE FINISHED

How this triple was built (4 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: WOFL | Statement: [Fox Television Stations, ownsStation, WOFL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WOFL
Context triple: [Fox Television Stations, ownsStation, WOFL]
  • A. WF
    WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
  • B. OWF
    OWF is the acronym for the Office of Wildland Fire, a U.S. federal office responsible for coordinating and overseeing wildland fire management policies and programs.
  • C. LWF
    LWF is the commonly used abbreviation for the Lutheran World Federation, a global communion of Lutheran churches engaged in theology, humanitarian work, and advocacy.
  • D. wol
    "wol" is the ISO 639-3 language code for Wolof, a major Atlantic language spoken primarily in Senegal, The Gambia, and Mauritania.
  • E. FW
    FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WOFL
Triple: [Fox Television Stations, ownsStation, WOFL]
Generated description
WOFL is a Fox-affiliated television station serving the Orlando, Florida media market.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WOFL
Target entity description: WOFL is a Fox-affiliated television station serving the Orlando, Florida media market.
  • A. WF
    WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
  • B. OWF
    OWF is the acronym for the Office of Wildland Fire, a U.S. federal office responsible for coordinating and overseeing wildland fire management policies and programs.
  • C. LWF
    LWF is the commonly used abbreviation for the Lutheran World Federation, a global communion of Lutheran churches engaged in theology, humanitarian work, and advocacy.
  • D. wol
    "wol" is the ISO 639-3 language code for Wolof, a major Atlantic language spoken primarily in Senegal, The Gambia, and Mauritania.
  • E. FW
    FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
  • F. None of above. chosen

Provenance (5 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5bf902c8190a490fa55e2dcecc0 completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f94f3881909a277c45c9add0f5 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b225b27e1c8190a3df0d4692ee66c6 completed March 12, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69b226339e4881908690f7ea7a7bd50c completed March 12, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:05 p.m.