Triple
T22120409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stavrovouni |
E546649
|
entity |
| Predicate | languageUsedAtMonastery |
P147063
|
FINISHED |
| Object | Greek |
—
|
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: Greek | Statement: [Stavrovouni, languageUsedAtMonastery, Greek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageUsedAtMonastery Context triple: [Stavrovouni, languageUsedAtMonastery, Greek]
-
A.
laterLanguageOfMonks
Indicates that one language is the later historical language used by a community of monks relative to another language they previously used.
-
B.
monastery
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
-
C.
containsMonastery
Indicates that one entity includes or encompasses a monastery within its boundaries or composition.
-
D.
stillInUseAsMonastery
Indicates that a building or site continues to function as a monastery in the present time.
-
E.
monasticCode
Indicates that an entity follows, is governed by, or is associated with a specific set of monastic rules or disciplinary code.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12951fcd48190841319cd879c15cb |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:31 p.m.