Triple

T4900899
Position Surface form Disambiguated ID Type / Status
Subject Wood E109794 entity
Predicate hasVariant P455 FINISHED
Object De Wood
De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
E478425 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: De Wood | Statement: [Wood, hasVariant, De Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Wood
Context triple: [Wood, hasVariant, De Wood]
  • A. How Wood
    How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
  • B. Touchwood
    Touchwood is a large modern shopping and leisure centre in Solihull, England, featuring a wide range of retail stores, restaurants, and entertainment facilities.
  • C. Seafar Wood
    Seafar Wood is a local nature reserve in Cumbernauld, Scotland, known for its woodland habitats and recreational walking paths.
  • D. Threepwood
    Threepwood is the aristocratic family name of the eccentric Blandings Castle clan in P. G. Wodehouse’s comic novels.
  • E. The Woods
    The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
  • 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: De Wood
Triple: [Wood, hasVariant, De Wood]
Generated description
De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: De Wood
Target entity description: De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
  • A. How Wood
    How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
  • B. Touchwood
    Touchwood is a large modern shopping and leisure centre in Solihull, England, featuring a wide range of retail stores, restaurants, and entertainment facilities.
  • C. Seafar Wood
    Seafar Wood is a local nature reserve in Cumbernauld, Scotland, known for its woodland habitats and recreational walking paths.
  • D. Threepwood
    Threepwood is the aristocratic family name of the eccentric Blandings Castle clan in P. G. Wodehouse’s comic novels.
  • E. The Woods
    The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e4c9a788190aaceec00d0057143 completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fd2a0348190a285ea1a62e7ae1b completed March 21, 2026, 10:15 a.m.
NEDg Description generation batch_69be707405008190ba1456544e8da593 completed March 21, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69be70e5537c8190b4db230932818a9c completed March 21, 2026, 10:20 a.m.
Created at: March 20, 2026, 1:28 p.m.