Triple
T20239017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abingdon Abbey |
E498230
|
entity |
| Predicate | re-foundationDate |
P9526
|
FINISHED |
| Object | 10th 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: 10th century | Statement: [Abingdon Abbey, re-foundationDate, 10th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: re-foundationDate Context triple: [Abingdon Abbey, re-foundationDate, 10th century]
-
A.
reFoundationDate
chosen
Indicates the date on which an entity was re-established or founded again after a previous foundation.
-
B.
foundedOn
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
-
C.
foundationFoundedIn
Indicates that a foundation was established or came into existence in a specific year or time period.
-
D.
foundedBefore
Indicates that one entity was established or created at an earlier time than the other entity.
-
E.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716c8de88190916bfa1d6b7f79cb |
completed | April 20, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:40 p.m.