Triple

T32354735
Position Surface form Disambiguated ID Type / Status
Subject Pannal E826701 entity
Predicate formerlyCivilParish P81469 FINISHED
Object Pannal civil parish
Pannal civil parish was a former local administrative area in North Yorkshire, England, that encompassed the village of Pannal and its surrounding countryside.
 E2004231 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: Pannal civil parish | Statement: [Pannal, formerlyCivilParish, Pannal civil parish]
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: Pannal civil parish
Triple: [Pannal, formerlyCivilParish, Pannal civil parish]
Generated description
Pannal civil parish was a former local administrative area in North Yorkshire, England, that encompassed the village of Pannal and its surrounding countryside.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: formerlyCivilParish
Context triple: [Pannal, formerlyCivilParish, Pannal civil parish]
  • A. formerCivilParish chosen
    Indicates that an entity was once designated as a civil parish but no longer holds that administrative status.
  • B. hasCivilParishStatus
    Indicates that an entity holds the official administrative status or designation of a civil parish.
  • C. onlyCivilParishOf
    Indicates that one entity is the sole civil parish associated with, or contained within, the other entity, with no other civil parishes sharing that association.
  • D. formerCivilParishMergedInto
    Indicates that a former civil parish has been administratively combined into another civil parish or local government unit, ceasing to exist as a separate entity.
  • E. civilParishIn
    Indicates that a civil parish is located within or administratively belongs to a specified larger geographic or governmental area.
  • 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_69f34915a2588190bb3178f5ec2f48f4 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69ff7595c9bc8190982c6e6e07a0c78f completed May 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a33e8a54cc481909dca0e223466243c completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33e9a331f481909e9f4352d2d52db6 completed June 18, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_6a3440b2dae081909c86cb74dd48ff1c completed June 18, 2026, 7:02 p.m.
PD Predicate disambiguation batch_69ff715432a88190a25670d26614bde2 completed May 9, 2026, 5:39 p.m.
Created at: May 1, 2026, 12:49 a.m.