Triple

T27650403
Position Surface form Disambiguated ID Type / Status
Subject Ormiston, East Lothian E696836 entity
Predicate hasNearbyHistoricFeature P87975 FINISHED
Object Ormiston Yew
Ormiston Yew is an ancient and historically significant yew tree in Ormiston, East Lothian, renowned for its great age and cultural heritage.
 E1784788 NE FINISHED

How this triple was built (3 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: Ormiston Yew | Statement: [Ormiston, East Lothian, hasNearbyHistoricFeature, Ormiston Yew]
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: Ormiston Yew
Triple: [Ormiston, East Lothian, hasNearbyHistoricFeature, Ormiston Yew]
Generated description
Ormiston Yew is an ancient and historically significant yew tree in Ormiston, East Lothian, renowned for its great age and cultural heritage.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNearbyHistoricFeature
Context triple: [Ormiston, East Lothian, hasNearbyHistoricFeature, Ormiston Yew]
  • A. hasNearbyHistoricArea
    Indicates that one entity is located close to another entity that is designated as a historic area.
  • B. nearbyHistoricalFunction
    Indicates that one entity is located close to another entity that has or had a historical role, use, or function.
  • C. nearbyHistoricalServiceFor
    Indicates that a historical service or facility is located close to a given reference entity or location.
  • D. hasAdjacentHistoricSite chosen
    Indicates that one place is directly next to or very near another place that is recognized as a historic site.
  • E. hasNearbyHistoricalEvent
    Indicates that a given entity is located close to the site where a specific historical event occurred.
  • F. None of above.

Provenance (6 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_69ef590abd3c8190834d0193bde12007 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69fd231cab588190ad0953dc8f4af8f2 completed May 7, 2026, 11:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12da97c2c081908717df6b533ab7f3 completed May 24, 2026, 11:01 a.m.
NEDg Description generation batch_6a12db0cb9648190b394ef4009fda2b4 completed May 24, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_6a12dbf956748190a6763112e384f761 completed May 24, 2026, 11:07 a.m.
PD Predicate disambiguation batch_69fd1aa3f1c481909fe6e9cab1383551 completed May 7, 2026, 11:05 p.m.
Created at: April 27, 2026, 2:31 p.m.