Triple
T4953845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilton Abbey |
E111232
|
entity |
| Predicate | typeOfCommunity |
P3292
|
FINISHED |
| Object | convent |
—
|
LITERAL 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: convent | Statement: [Wilton Abbey, typeOfCommunity, convent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCommunity Context triple: [Wilton Abbey, typeOfCommunity, convent]
-
A.
communityType
Indicates the classification or category of community to which an entity belongs (e.g., urban, rural, online, professional).
-
B.
communityOrganizationType
Indicates the specific kind or category of community organization associated with an entity.
-
C.
hasCommunityType
chosen
Indicates that an entity is associated with or classified under a particular type or category of community.
-
D.
includesCommunity
Indicates that one entity encompasses, contains, or has within it a particular community as part of its scope or composition.
-
E.
community
Indicates a relationship where individuals or groups are connected by shared location, interests, or identity, forming a collective social unit.
- F. None of above.
Provenance (3 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71b82dd88190adfb08c3b3191fe0 |
completed | March 20, 2026, 4:11 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.