Triple
T9508218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Panteleimon Monastery |
E229323
|
entity |
| Predicate | observesVows |
P88461
|
FINISHED |
| Object | poverty |
—
|
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: poverty | Statement: [St. Panteleimon Monastery, observesVows, poverty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observesVows Context triple: [St. Panteleimon Monastery, observesVows, poverty]
-
A.
vowsTo
Indicates a commitment or solemn promise made by one entity to another to perform, uphold, or refrain from specific actions.
-
B.
observesFrom
Indicates that one entity watches, monitors, or takes note of another entity from a particular vantage point or location.
-
C.
mayObserve
Indicates that one entity is permitted or allowed to observe, monitor, or watch another entity or process.
-
D.
observedFor
Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of another entity.
-
E.
vowsLocation
Indicates the place where vows are made, exchanged, or formally declared between parties.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9855c5e48190a7d8d39b6d601679 |
completed | April 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cca567ca448190bf4bcce8ce7dd54f |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:57 p.m.