Triple
T33075074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyra Panagia |
E846336
|
entity |
| Predicate | monasteryStatus |
P175776
|
FINISHED |
| Object | historic |
—
|
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: historic | Statement: [Kyra Panagia, monasteryStatus, historic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monasteryStatus Context triple: [Kyra Panagia, monasteryStatus, historic]
-
A.
monasteryEstablished
Indicates that a monastery was founded or formally established at a particular time, place, or by a specific agent.
-
B.
monasteryType
Indicates the specific kind or classification of a monastery in relation to its broader religious or organizational category.
-
C.
monastery
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
-
D.
stillInUseAsMonastery
Indicates that a building or site continues to function as a monastery in the present time.
-
E.
numberOfActiveMonasteries
Indicates the count of monasteries that are currently active or operational in a given context.
- F. None of above. chosen
Provenance (4 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_69f3495405b88190967af2157b43b896 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: May 1, 2026, 1:25 a.m.