Triple

T31338779
Position Surface form Disambiguated ID Type / Status
Subject Layde E799246 entity
Predicate containsTownland P200082 FINISHED
Object Layde townland
Layde townland is a small rural land division in County Antrim, Northern Ireland, known for its traditional Irish countryside setting and proximity to the coastal village of Cushendall.
 E1959077 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: Layde townland | Statement: [Layde, containsTownland, Layde townland]
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: Layde townland
Triple: [Layde, containsTownland, Layde townland]
Generated description
Layde townland is a small rural land division in County Antrim, Northern Ireland, known for its traditional Irish countryside setting and proximity to the coastal village of Cushendall.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: containsTownland
Context triple: [Layde, containsTownland, Layde townland]
  • A. hasTownlandStatus
    Indicates that an entity holds the legal or administrative status of being a townland.
  • B. hasRuralParish
    Indicates that an entity possesses or is associated with a rural parish as an administrative or ecclesiastical subdivision.
  • C. regionContainsTowns
    Indicates that a geographic region includes or encompasses one or more towns within its boundaries.
  • D. historicalTownshipOf
    Indicates that one entity was formerly a township encompassing or governing the other entity during a past historical period.
  • E. hasCivilParishComponent
    Indicates that an entity includes or is composed of the specified civil parish as one of its administrative components.
  • F. None of above. chosen

Provenance (7 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_69f224e3f6ac8190a13488516abca7c9 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69ff70ecc1a481909571b18d56d982b8 completed May 9, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2a72148a38819097ddaf395ff14cff completed June 11, 2026, 8:30 a.m.
NEDg Description generation batch_6a2a729237148190ae28589b9a1665d7 completed June 11, 2026, 8:32 a.m.
NED2 Entity disambiguation (via description) batch_6a2a9e880bb48190875742fff1c69701 completed June 11, 2026, 11:39 a.m.
PD Predicate disambiguation batch_69ff70322a3c8190837840ea42cd3093 completed May 9, 2026, 5:34 p.m.
PDg Predicate description generation batch_69ff70ebec7481908d8a4124c8d531df completed May 9, 2026, 5:37 p.m.
Created at: April 29, 2026, 9:16 p.m.