Triple
T282077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Athos |
E5373
|
entity |
| Predicate | earliestMajorMonasteryFoundation |
P41
|
FINISHED |
| Object | 963 (Great Lavra) |
—
|
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: 963 (Great Lavra) | Statement: [Mount Athos, earliestMajorMonasteryFoundation, 963 (Great Lavra)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestMajorMonasteryFoundation Context triple: [Mount Athos, earliestMajorMonasteryFoundation, 963 (Great Lavra)]
-
A.
numberOfActiveMonasteries
Indicates the count of monasteries that are currently active or operational in a given context.
-
B.
foundedBefore
Indicates that one entity was established or created at an earlier time than the other entity.
-
C.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
-
D.
foundedOn
chosen
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
-
E.
religiousAffiliationAtFoundation
Indicates the religious denomination or tradition with which an entity was affiliated at the time it was founded.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25e0a23c0819083abee28b2dea49c |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b77e028819087e606fc321219f7 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.