Triple
T14664479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welbeck Abbey |
E344330
|
entity |
| Predicate | foundedAsAbbeyInCentury |
P113560
|
FINISHED |
| Object | 12th 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: 12th century | Statement: [Welbeck Abbey, foundedAsAbbeyInCentury, 12th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsAbbeyInCentury Context triple: [Welbeck Abbey, foundedAsAbbeyInCentury, 12th century]
-
A.
abbeyOriginCentury
chosen
Indicates the century in which an abbey was originally founded or established.
-
B.
placeOfMonasticFoundation
Indicates the location where a monastic community or monastery was originally established or founded.
-
C.
monasteryEstablished
Indicates that a monastery was founded or formally established at a particular time, place, or by a specific agent.
-
D.
constructionOfAbbeyBegan
Indicates that the process of building or establishing an abbey was initiated.
-
E.
abbeyDenomination
Indicates the religious denomination or order with which an abbey is affiliated.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ae5ac81908cc69891f280e5f7 |
completed | April 14, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:27 a.m.