Triple
T7468569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tynemouth |
E176442
|
entity |
| Predicate | hasMonasticSite |
P20652
|
FINISHED |
| Object | medieval priory |
—
|
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: medieval priory | Statement: [Tynemouth, hasMonasticSite, medieval priory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonasticSite Context triple: [Tynemouth, hasMonasticSite, medieval priory]
-
A.
hasMonasticCommunities
Indicates that an entity possesses, hosts, or is associated with one or more monastic communities.
-
B.
containsMonastery
chosen
Indicates that one entity includes or encompasses a monastery within its boundaries or composition.
-
C.
hasMonasticName
Indicates that an entity possesses a specific name adopted or assigned within a monastic or religious order.
-
D.
hasNearbyMonastery
Indicates that one entity is located close to or in the vicinity of a monastery.
-
E.
monasticCenters
Indicates that one entity serves as a monastic center or hub for religious monastic life in relation to another entity.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f6f23881908e3e80b0c7335a15 |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:40 p.m.