Triple
T10722950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pachomius the Great |
E252866
|
entity |
| Predicate | approximateNumberOfMonksUnderRule |
P23613
|
FINISHED |
| Object | several thousand |
—
|
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: several thousand | Statement: [Pachomius the Great, approximateNumberOfMonksUnderRule, several thousand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfMonksUnderRule Context triple: [Pachomius the Great, approximateNumberOfMonksUnderRule, several thousand]
-
A.
numberOfMonksApprox
chosen
Indicates an approximate count or estimate of how many monks are involved or present in a given context.
-
B.
numberOfActiveMonasteries
Indicates the count of monasteries that are currently active or operational in a given context.
-
C.
numberOfNuns
Indicates the quantity or count of nuns associated with a given entity.
-
D.
hasNearbyMonastery
Indicates that one entity is located close to or in the vicinity of a monastery.
-
E.
hasApproximateAdherents
Indicates that an entity is associated with a non-exact, estimated number of adherents or followers.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d44d0048190a78aae2357e864a5 |
completed | April 9, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69d6f30455888190b77f476b8418eaee |
completed | April 9, 2026, 12:29 a.m. |
Created at: April 8, 2026, 9:14 p.m.