Triple

T25143358
Position Surface form Disambiguated ID Type / Status
Subject St Mary the Virgin Church, Goudhurst E629865 entity
Predicate name P16 FINISHED
Object St Mary the Virgin Church
St Mary the Virgin Church is a historic Anglican parish church in the village of Goudhurst in Kent, England, noted for its prominent hilltop setting and medieval architecture.
E1723612 NE FINISHED

How this triple was built (2 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: St Mary the Virgin Church | Statement: [St Mary the Virgin Church, Goudhurst, name, St Mary the Virgin Church]
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: St Mary the Virgin Church
Triple: [St Mary the Virgin Church, Goudhurst, name, St Mary the Virgin Church]
Generated description
St Mary the Virgin Church is a historic Anglican parish church in the village of Goudhurst in Kent, England, noted for its prominent hilltop setting and medieval architecture.

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_69e2ff349e408190a6f4a5a66279f54d completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f4684a765c819091891c99ed64a7e7 completed May 1, 2026, 8:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a11ae87bd7c8190b3321933f0895613 completed May 23, 2026, 1:41 p.m.
NEDg Description generation batch_6a11af6832f08190ab2673c8502f0526 completed May 23, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a11b0097edc81909327051db358c7b1 completed May 23, 2026, 1:47 p.m.
Created at: April 18, 2026, 6:29 a.m.