Triple
T29762835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thyrnau |
E753820
|
entity |
| Predicate | abbeyFoundedAs |
P49941
|
FINISHED |
| Object | Cistercian nunnery 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 nunnery at Thyrnau Abbey | Statement: [Thyrnau, abbeyFoundedAs, Cistercian nunnery at Thyrnau Abbey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abbeyFoundedAs Context triple: [Thyrnau, abbeyFoundedAs, Cistercian nunnery at Thyrnau Abbey]
-
A.
abbeyFoundedInYearApprox
Indicates that an abbey was founded around an approximate year, rather than on a precisely known date.
-
B.
abbeyOriginCentury
Indicates the century in which an abbey was originally founded or established.
-
C.
abbeyDenomination
chosen
Indicates the religious denomination or order with which an abbey is affiliated.
-
D.
abbeyLocation
Indicates the geographical place where an abbey is situated or located.
-
E.
abbeyDissolvedDuring
Indicates that an abbey ceased to exist or was formally disbanded during a specified time period or event.
- 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_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 8:35 p.m.