Triple
T24498981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scattery Island |
E617877
|
entity |
| Predicate | monasticTraditionFoundedInYear |
P156532
|
FINISHED |
| Object | c. 534 |
—
|
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: c. 534 | Statement: [Scattery Island, monasticTraditionFoundedInYear, c. 534]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monasticTraditionFoundedInYear Context triple: [Scattery Island, monasticTraditionFoundedInYear, c. 534]
-
A.
placeOfMonasticFoundation
Indicates the location where a monastic community or monastery was originally established or founded.
-
B.
monasteryEstablished
Indicates that a monastery was founded or formally established at a particular time, place, or by a specific agent.
-
C.
numberOfMonasteriesFounded
Indicates the total count of monasteries that a given entity has established or founded.
-
D.
monasticTradition
Indicates that an entity follows, belongs to, or is characterized by a particular monastic rule, lineage, or way of religious life.
-
E.
founderOfMonastery
Indicates that a person established or founded a particular monastery.
- 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_69e2d7f682108190a1a7ca5fd485ee8a |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a9d795288190916368e3cec1f666 |
completed | April 30, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:23 a.m.