Triple

T1908799
Position Surface form Disambiguated ID Type / Status
Subject Hertfordshire E38060 entity
Predicate containsSettlement P847 FINISHED
Object How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
 E211884 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: How Wood | Statement: [Hertfordshire, containsSettlement, How Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: How Wood
Context triple: [Hertfordshire, containsSettlement, How Wood]
  • A. Threepwood
    Threepwood is the aristocratic family name of the eccentric Blandings Castle clan in P. G. Wodehouse’s comic novels.
  • B. Woods
    Woods is a common English surname of Anglo-Saxon origin, typically referring to someone who lived or worked in or near a forest.
  • C. Lockwood
    Lockwood is a small unincorporated community in Storey County, Nevada, located just east of Reno along the Truckee River.
  • D. Seafar Wood
    Seafar Wood is a local nature reserve in Cumbernauld, Scotland, known for its woodland habitats and recreational walking paths.
  • E. The Ever Green
    The Ever Green is a landmark early 18th-century anthology of older Scottish poetry compiled and edited by Allan Ramsay, which helped revive interest in Scotland’s literary heritage.
  • 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: How Wood
Triple: [Hertfordshire, containsSettlement, How Wood]
Generated description
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: How Wood
Target entity description: How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
  • A. Threepwood
    Threepwood is the aristocratic family name of the eccentric Blandings Castle clan in P. G. Wodehouse’s comic novels.
  • B. Woods
    Woods is a common English surname of Anglo-Saxon origin, typically referring to someone who lived or worked in or near a forest.
  • C. Lockwood
    Lockwood is a small unincorporated community in Storey County, Nevada, located just east of Reno along the Truckee River.
  • D. Seafar Wood
    Seafar Wood is a local nature reserve in Cumbernauld, Scotland, known for its woodland habitats and recreational walking paths.
  • E. The Ever Green
    The Ever Green is a landmark early 18th-century anthology of older Scottish poetry compiled and edited by Allan Ramsay, which helped revive interest in Scotland’s literary heritage.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1b55edc8190bce8ac97196939a9 completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeafdad3c8190be7aeaed8bdeac43 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adeb7075f48190a27b5039c3b4691e completed March 8, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69adec37a4f88190961edf8f9c81773c completed March 8, 2026, 9:37 p.m.
Created at: March 4, 2026, 7:35 p.m.