Triple
T26138296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | معبد بتاح في منف |
E659441
|
entity |
| Predicate | كان تحت رعاية |
P9459
|
FINISHED |
| Object | كهنة بتاح في منف |
—
|
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: كهنة بتاح في منف | Statement: [معبد بتاح في منف, كان تحت رعاية, كهنة بتاح في منف]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: كان تحت رعاية Context triple: [معبد بتاح في منف, كان تحت رعاية, كهنة بتاح في منف]
-
A.
underAuspicesOf
chosen
Indicates that an action, event, or entity operates under the sponsorship, authority, or guidance of another party.
-
B.
endedUnderAdministration
Indicates that an entity’s existence, operation, or status concluded while it was under the control or management of a particular administrative authority.
-
C.
wasHeldUnder
Indicates that an event, activity, or state took place while being subject to the authority, control, jurisdiction, or auspices of a particular entity or condition.
-
D.
tookCareOf
Indicates that one entity provided care, support, or maintenance for another entity over a period of time.
-
E.
underSafeguardsOf
Indicates that one entity is protected, regulated, or controlled by the safety measures, oversight, or protective mechanisms established by another entity.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60be1d2408190820365bf7d8436bd |
completed | May 2, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:18 p.m.