Triple

T10329235
Position Surface form Disambiguated ID Type / Status
Subject Open Web Platform E242834 entity
Predicate hasComponent P35 FINISHED
Object WOFF
WOFF (Web Open Font Format) is a web font format designed to efficiently deliver and display custom fonts on websites while optimizing compression and performance.
E856221 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: WOFF | Statement: [Open Web Platform, hasComponent, WOFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WOFF
Context triple: [Open Web Platform, hasComponent, WOFF]
  • A. TrueType
    TrueType is a digital font technology developed by Apple (and later adopted by Microsoft) that uses quadratic Bézier curves to define scalable, screen- and print-friendly typefaces.
  • B. TTF
    TTF is the National Rail station code for Thetford railway station in Norfolk, England.
  • C. OTF
    OTF is a rap collective and record label founded by Chicago rapper Lil Durk, known for its influential role in the drill music scene.
  • D. SWF
    SWF is the IATA airport code for Stewart International Airport, a public airport located near Newburgh in New York's Hudson Valley.
  • E. Font Bureau
    Font Bureau is an independent type foundry known for designing and distributing a wide range of professional digital typefaces used in publishing, branding, and user interfaces.
  • 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: WOFF
Triple: [Open Web Platform, hasComponent, WOFF]
Generated description
WOFF (Web Open Font Format) is a web font format designed to efficiently deliver and display custom fonts on websites while optimizing compression and performance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WOFF
Target entity description: WOFF (Web Open Font Format) is a web font format designed to efficiently deliver and display custom fonts on websites while optimizing compression and performance.
  • A. TrueType
    TrueType is a digital font technology developed by Apple (and later adopted by Microsoft) that uses quadratic Bézier curves to define scalable, screen- and print-friendly typefaces.
  • B. TTF
    TTF is the National Rail station code for Thetford railway station in Norfolk, England.
  • C. OTF
    OTF is a rap collective and record label founded by Chicago rapper Lil Durk, known for its influential role in the drill music scene.
  • D. SWF
    SWF is the IATA airport code for Stewart International Airport, a public airport located near Newburgh in New York's Hudson Valley.
  • E. Font Bureau
    Font Bureau is an independent type foundry known for designing and distributing a wide range of professional digital typefaces used in publishing, branding, and user interfaces.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cfd54c8190b6f88598339536d1 completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71db4a8dc81909adb2a044e74fd6b completed April 9, 2026, 3:32 a.m.
NEDg Description generation batch_69d73189d7cc8190b81bb30994b3900f completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d7329891688190b5c1ec5906728f01 completed April 9, 2026, 5:01 a.m.
Created at: April 6, 2026, 11:52 a.m.