Triple
T29762836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thyrnau |
E753820
|
entity |
| Predicate | abbeyAffiliation |
P49941
|
FINISHED |
| Object | Cistercian Order at Thyrnau Abbey |
—
|
NE NERFINISHED |
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: Cistercian Order at Thyrnau Abbey | Statement: [Thyrnau, abbeyAffiliation, Cistercian Order at Thyrnau Abbey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abbeyAffiliation Context triple: [Thyrnau, abbeyAffiliation, Cistercian Order at Thyrnau Abbey]
-
A.
abbeyDenomination
chosen
Indicates the religious denomination or order with which an abbey is affiliated.
-
B.
abbeyName
Indicates that an entity has or is identified by the specified abbey name.
-
C.
abbeyLocation
Indicates the geographical place where an abbey is situated or located.
-
D.
abbeyConsecrated
Indicates that an abbey has been formally dedicated and made sacred for religious use through a consecration ceremony.
-
E.
abbeyFoundedInYearApprox
Indicates that an abbey was founded around an approximate year, rather than on a precisely known date.
- 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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f673d112e881908068c066e832ebe3 |
completed | May 2, 2026, 9:59 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 8:35 p.m.