Triple
T4115890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chester Cathedral |
E90289
|
entity |
| Predicate | foundedAsAbbey |
P52045
|
FINISHED |
| Object | 11th century |
—
|
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: 11th century | Statement: [Chester Cathedral, foundedAsAbbey, 11th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsAbbey Context triple: [Chester Cathedral, foundedAsAbbey, 11th century]
-
A.
abbeyDenomination
Indicates the religious denomination or order with which an abbey is affiliated.
-
B.
placeOfMonasticFoundation
Indicates the location where a monastic community or monastery was originally established or founded.
-
C.
refoundedAsBenedictineMonastery
Indicates that something was re-established or reorganized specifically as a Benedictine monastery.
-
D.
monasteryEstablished
chosen
Indicates that a monastery was founded or formally established at a particular time, place, or by a specific agent.
-
E.
abbeyConsecrated
Indicates that an abbey has been formally dedicated and made sacred for religious use through a consecration ceremony.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03d7240c8190a64dcbc669772808 |
completed | March 9, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69af0183eb84819087d7184de28f5514 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.