Triple

T24606183
Position Surface form Disambiguated ID Type / Status
Subject Colston Bassett E608977 entity
Predicate hasOldChurch P15000 FINISHED
Object ruined church of St Mary
The ruined church of St Mary is a historic, now-derelict medieval parish church that stands as a picturesque remnant of Colston Bassett’s earlier religious and architectural heritage.
 E1642212 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: ruined church of St Mary | Statement: [Colston Bassett, hasOldChurch, ruined church of St Mary]
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: ruined church of St Mary
Triple: [Colston Bassett, hasOldChurch, ruined church of St Mary]
Generated description
The ruined church of St Mary is a historic, now-derelict medieval parish church that stands as a picturesque remnant of Colston Bassett’s earlier religious and architectural heritage.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasOldChurch
Context triple: [Colston Bassett, hasOldChurch, ruined church of St Mary]
  • A. hasChurch chosen
    Indicates that a place or entity possesses, contains, or is associated with a church.
  • B. hadNationalChurch
    Indicates that a country or region recognized a particular church as its official or primary national religious institution.
  • C. hasAncientChristianHeritage
    Indicates that an entity possesses a historical connection to early or longstanding Christian traditions, communities, or influences.
  • D. earlierChurchUsedBy
    Indicates that one church building was used by a group or congregation before they used another, later church building.
  • E. hasChurchmanship
    Indicates that an entity adheres to or is associated with a particular style, tradition, or practice within a Christian church.
  • 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_69e2c4d060e08190ac9f7c49b1036e20 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff88c65a88190858d1f637e69b894 completed May 22, 2026, 6:32 a.m.
NEDg Description generation batch_6a0ffa0e653481909158d5aab58c47cd completed May 22, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0ffaba3af88190927957e4d31dd6f7 completed May 22, 2026, 6:42 a.m.
PD Predicate disambiguation batch_69f2a6ca751c8190a040c10d701ecf3a completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:31 a.m.