Triple

T264158
Position Surface form Disambiguated ID Type / Status
Subject Office of Wildland Fire E5818 entity
Predicate shortName P43 FINISHED
Object 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.
 E34580 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: OWF | Statement: [Office of Wildland Fire, shortName, OWF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OWF
Context triple: [Office of Wildland Fire, shortName, OWF]
  • A. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • B. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • C. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • D. WAS
    WAS is the standard three-letter abbreviation used for the NBA team Washington Wizards.
  • E. WSFS
    WSFS (World Science Fiction Society) is the international organization that oversees the World Science Fiction Convention and administers the Hugo Awards.
  • 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: OWF
Triple: [Office of Wildland Fire, shortName, OWF]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OWF
Target entity description: 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.
  • A. OFC
    OFC is the Oceania Football Confederation, the governing body for association football in the Oceania region and one of FIFA’s six continental confederations.
  • B. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • C. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • D. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • E. WAS
    WAS is the standard three-letter abbreviation used for the NBA team Washington Wizards.
  • 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_69a258dd8ea08190ac554a1cc8dfd8c3 completed Feb. 28, 2026, 2:54 a.m.
NER Named-entity recognition batch_69a25d8e809881908a58c9a4e3ba07c3 completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a389ae45648190966804664bf4f861 completed March 1, 2026, 12:34 a.m.
NEDg Description generation batch_69a38a9adf4481909300cfa1fb3129cc completed March 1, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_69a38aef72808190953043b9c480fada completed March 1, 2026, 12:40 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.