Triple
T26157262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fearn |
E659997
|
entity |
| Predicate | hasMedievalMonasticLinks |
P122170
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Fearn, hasMedievalMonasticLinks, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMedievalMonasticLinks Context triple: [Fearn, hasMedievalMonasticLinks, true]
-
A.
hasMonasticHistory
Indicates that an entity has a historical association with monastic life, institutions, or traditions.
-
B.
wasMonasticCentreFromCentury
Indicates that a place functioned as a monastic center starting from a specified century.
-
C.
medievalAssociation
chosen
Indicates a relationship or involvement between entities specifically within a medieval context, such as shared roles, activities, or affiliations characteristic of the Middle Ages.
-
D.
monasteriesAre
Indicates that a subject is classified as, functions as, or is identified with monasteries.
-
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_69ee5bc5a9908190899d39ce95c6d215 |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 26, 2026, 8:28 p.m.