Triple
T19447277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remiremont |
E486511
|
entity |
| Predicate | AbbeyOfRemiremontFoundedInCentury |
P113560
|
FINISHED |
| Object | 7th 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: 7th century | Statement: [Remiremont, AbbeyOfRemiremontFoundedInCentury, 7th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AbbeyOfRemiremontFoundedInCentury Context triple: [Remiremont, AbbeyOfRemiremontFoundedInCentury, 7th century]
-
A.
abbeyOriginCentury
chosen
Indicates the century in which an abbey was originally founded or established.
-
B.
monasteryAbandonedByCentury
Indicates that a monastery had been abandoned and was no longer in use by a specified century.
-
C.
formerCistercianAbbey
Indicates that something was once a Cistercian abbey but no longer holds that status.
-
D.
refoundedAsBenedictineMonastery
Indicates that something was re-established or reorganized specifically as a Benedictine monastery.
-
E.
monasteryEstablished
Indicates that a monastery was founded or formally established at a particular time, place, or by a specific agent.
- 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_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. |
Created at: April 10, 2026, 1:38 p.m.