Triple
T26748812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Thoronet |
E674475
|
entity |
| Predicate | hasReligiousOrderAtAbbey |
P49941
|
FINISHED |
| Object | Cistercians |
—
|
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: Cistercians | Statement: [Le Thoronet, hasReligiousOrderAtAbbey, Cistercians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousOrderAtAbbey Context triple: [Le Thoronet, hasReligiousOrderAtAbbey, Cistercians]
-
A.
abbeyDenomination
chosen
Indicates the religious denomination or order with which an abbey is affiliated.
-
B.
hasAbbess
Indicates that a religious community, convent, or abbey is led or overseen by a specific abbess.
-
C.
abbeyConsecrated
Indicates that an abbey has been formally dedicated and made sacred for religious use through a consecration ceremony.
-
D.
monasteryOrder
Indicates that a monastery belongs to, follows, or is affiliated with a particular religious order.
-
E.
hasClergyOrder
Indicates that an entity is associated with, or belongs to, a specific religious or clerical order.
- 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_69eecda63a3881908095c47900692e65 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
Created at: April 27, 2026, 3:52 a.m.