Triple

T13787586
Position Surface form Disambiguated ID Type / Status
Subject WFTC E331303 entity
Predicate formerCallsign P4444 FINISHED
Object WFBT
WFBT is a former broadcast station call sign in the United States that was later changed to WFTC.
E1062412 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: WFBT | Statement: [WFTC, formerCallsign, WFBT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WFBT
Context triple: [WFTC, formerCallsign, WFBT]
  • A. WBT
    WBT is the station code for Wibautstraat, a metro station in Amsterdam, Netherlands.
  • B. FBN
    FBN is the abbreviation commonly used for the Fox Business Network, a U.S.-based cable and satellite business news channel.
  • C. FWN
    FWN is the standard abbreviation used for the Fort Wayne TinCaps, a Minor League Baseball team based in Fort Wayne, Indiana.
  • D. WFJ
    WFJ is the National Rail station code for Watford Junction, a major railway hub in Hertfordshire, England, serving commuter, regional, and long-distance services.
  • E. WFA
    WFA is the abbreviation for The Women's Football Association, the former governing body for women's football in England.
  • 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: WFBT
Triple: [WFTC, formerCallsign, WFBT]
Generated description
WFBT is a former broadcast station call sign in the United States that was later changed to WFTC.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WFBT
Target entity description: WFBT is a former broadcast station call sign in the United States that was later changed to WFTC.
  • A. WBT
    WBT is the station code for Wibautstraat, a metro station in Amsterdam, Netherlands.
  • B. FBN
    FBN is the abbreviation commonly used for the Fox Business Network, a U.S.-based cable and satellite business news channel.
  • C. FWN
    FWN is the standard abbreviation used for the Fort Wayne TinCaps, a Minor League Baseball team based in Fort Wayne, Indiana.
  • D. WFJ
    WFJ is the National Rail station code for Watford Junction, a major railway hub in Hertfordshire, England, serving commuter, regional, and long-distance services.
  • E. WFA
    WFA is the abbreviation for The Women's Football Association, the former governing body for women's football in England.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0249e4f88190a80316394940627d completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b07d872c81908f912263d8f7c80d completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b230fb448190bc16a1d8732ff76f completed May 3, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_69f7b2c55e188190b0ea8fa400ff2dfc completed May 3, 2026, 8:40 p.m.
Created at: April 9, 2026, 10:11 p.m.