Triple
T13381461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delapré Abbey |
E319326
|
entity |
| Predicate | reopenedToPublicInYear |
P10067
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Delapré Abbey, reopenedToPublicInYear, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reopenedToPublicInYear Context triple: [Delapré Abbey, reopenedToPublicInYear, 2017]
-
A.
openedToPublicBy
Indicates that an entity was made accessible or available to the general public through the action or decision of another entity.
-
B.
yearOpenedToPublic
Indicates the calendar year in which something (such as a place, facility, or service) was first made accessible to the general public.
-
C.
openToPublicSince
Indicates that an entity has been accessible or available for use by the general public starting from a specified point in time.
-
D.
reopeningYearAsMuseum
Indicates the year in which a place or building was reopened specifically to function as a museum.
-
E.
reopeningDate
chosen
Indicates the date on which something that was previously closed is opened again for use or access.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce694788190881d1feac5b75720 |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:33 p.m.