Triple

T24614456
Position Surface form Disambiguated ID Type / Status
Subject Hatfield Peverel E609213 entity
Predicate hasPrioryRemains P110225 FINISHED
Object Hatfield Peverel Priory
Hatfield Peverel Priory was a medieval Benedictine monastic house in Essex, England, whose remains adjoin the present parish church.
 E1644832 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: Hatfield Peverel Priory | Statement: [Hatfield Peverel, hasPrioryRemains, Hatfield Peverel Priory]
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: Hatfield Peverel Priory
Triple: [Hatfield Peverel, hasPrioryRemains, Hatfield Peverel Priory]
Generated description
Hatfield Peverel Priory was a medieval Benedictine monastic house in Essex, England, whose remains adjoin the present parish church.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasPrioryRemains
Context triple: [Hatfield Peverel, hasPrioryRemains, Hatfield Peverel Priory]
  • A. hasPrioryChurch
    Indicates that an entity possesses or is associated with a specific priory church as part of its properties or domain.
  • B. hasCastleRemains
    Indicates that one entity possesses or contains the remaining structures or ruins of a castle associated with it.
  • C. hasBuriedRemains
    Indicates that one entity contains or is the location of the buried remains of another entity.
  • D. hasMonasteryRuins chosen
    Indicates that an entity possesses or contains the remains or ruins of a former monastery.
  • E. hasPreceptoryFunction
    Indicates that something serves or is assigned the role or function of a preceptory (a local administrative or command house, typically of a religious or knightly order).
  • 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_69e2c4d1140081909c58667bf68f80c3 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_6a10047d863c8190b7ebbd9053e2ff5a completed May 22, 2026, 7:23 a.m.
NEDg Description generation batch_6a100734702c8190ad66dfa3eace6c00 completed May 22, 2026, 7:35 a.m.
NED2 Entity disambiguation (via description) batch_6a1007bfa1c88190ab8b4199b84a4db0 completed May 22, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69f2a6ca751c8190a040c10d701ecf3a completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:31 a.m.