Triple
T19447276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remiremont |
E486511
|
entity |
| Predicate | AbbeyOfRemiremontInstanceOf |
P135919
|
FINISHED |
| Object | former Benedictine abbey |
—
|
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: former Benedictine abbey | Statement: [Remiremont, AbbeyOfRemiremontInstanceOf, former Benedictine abbey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AbbeyOfRemiremontInstanceOf Context triple: [Remiremont, AbbeyOfRemiremontInstanceOf, former Benedictine abbey]
-
A.
formerCistercianAbbey
Indicates that something was once a Cistercian abbey but no longer holds that status.
-
B.
abbeyConsecrated
Indicates that an abbey has been formally dedicated and made sacred for religious use through a consecration ceremony.
-
C.
churchOfAbbey
Indicates that a given church is associated with, belongs to, or is part of a specified abbey.
-
D.
abbeyDenomination
Indicates the religious denomination or order with which an abbey is affiliated.
-
E.
abbeyLocation
Indicates the geographical place where an abbey is situated or located.
- F. None of above. chosen
Provenance (4 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338b25d88190bc137a411576c73f |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:38 p.m.