Triple
T20087190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Shenoute |
E496166
|
entity |
| Predicate | monasteryLocation |
P132651
|
FINISHED |
| Object | near Sohag, Upper Egypt |
—
|
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: near Sohag, Upper Egypt | Statement: [Saint Shenoute, monasteryLocation, near Sohag, Upper Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monasteryLocation Context triple: [Saint Shenoute, monasteryLocation, near Sohag, Upper Egypt]
-
A.
mainMonasteryLocation
chosen
Indicates the place where a religious order’s primary or central monastery is situated.
-
B.
monasteryName
Indicates the name assigned to a monastery as its identifying label.
-
C.
monastery
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
-
D.
monasteryEstablished
Indicates that a monastery was founded or formally established at a particular time, place, or by a specific agent.
-
E.
containsMonastery
Indicates that one entity includes or encompasses a monastery within its boundaries or composition.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655ba40c8190adea0e271a1249cf |
completed | April 20, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:12 p.m.