Triple
T30742800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumela Monastery |
E782735
|
entity |
| Predicate | reopenedFullyIn |
P61075
|
FINISHED |
| Object | 2020 |
—
|
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: 2020 | Statement: [Sumela Monastery, reopenedFullyIn, 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reopenedFullyIn Context triple: [Sumela Monastery, reopenedFullyIn, 2020]
-
A.
fullyReopened
chosen
Indicates that something previously closed or partially open has been restored to complete, unrestricted operational status.
-
B.
reopenedFor
Indicates that an entity, previously closed or inactive, has been opened again to allow access, use, or operation for another entity or purpose.
-
C.
reopensIn
Indicates that an entity resumes operation or becomes accessible again at a specified time or under specified conditions after having been closed or inactive.
-
D.
reopenedAfter
Indicates that an entity was closed or inactive and then opened or made active again following a specified prior event or time.
-
E.
reopenedPartially
Indicates that an entity that was previously closed or inactive has been opened again, but only to a limited or incomplete extent.
- 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f6a32f081909499d6ca20f35e55 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:38 p.m.