Triple

T4228860
Position Surface form Disambiguated ID Type / Status
Subject Wallops Flight Facility E94526 entity
Predicate hasAbbreviation P43 FINISHED
Object WFF
WFF is a NASA rocket launch and research facility located on Wallops Island, Virginia, supporting suborbital and orbital missions.
 E422357 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: WFF | Statement: [Wallops Flight Facility, hasAbbreviation, WFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WFF
Context triple: [Wallops Flight Facility, hasAbbreviation, WFF]
  • A. WF
    WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
  • B. FW
    FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
  • C. WW
    WW is the commonly used abbreviation for Woodsworth College, a constituent college of the University of Toronto known for its diverse student body and focus on continuing and part-time education.
  • D. WOFL
    WOFL is a Fox-affiliated television station serving the Orlando, Florida media market.
  • E. DFF
    DFF is the German abbreviation for Switzerland’s Federal Department of Finance, the national ministry responsible for the country’s financial and budgetary policy.
  • 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: WFF
Triple: [Wallops Flight Facility, hasAbbreviation, WFF]
Generated description
WFF is a NASA rocket launch and research facility located on Wallops Island, Virginia, supporting suborbital and orbital missions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WFF
Target entity description: WFF is a NASA rocket launch and research facility located on Wallops Island, Virginia, supporting suborbital and orbital missions.
  • A. WF
    WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
  • B. FW
    FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
  • C. WW
    WW is the commonly used abbreviation for Woodsworth College, a constituent college of the University of Toronto known for its diverse student body and focus on continuing and part-time education.
  • D. WOFL
    WOFL is a Fox-affiliated television station serving the Orlando, Florida media market.
  • E. DFF
    DFF is the German abbreviation for Switzerland’s Federal Department of Finance, the national ministry responsible for the country’s financial and budgetary policy.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e51817c8190bff50f2c3b5deea0 completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5964cd0088190a97ca5278046ba7b completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596cc2a4c819089e785917cd700f2 completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b59769936081908c42c0006b6ad9c3 completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:04 p.m.