Triple
T26138081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | منف |
E659435
|
entity |
| Predicate | كانت_مركزًا |
P160973
|
FINISHED |
| Object | مركز سياسي |
—
|
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: مركز سياسي | Statement: [منف, كانت_مركزًا, مركز سياسي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: كانت_مركزًا Context triple: [منف, كانت_مركزًا, مركز سياسي]
-
A.
previouslyCenteredOn
Indicates that something was formerly the main focus, reference point, or central subject of another thing, but is no longer in that central position.
-
B.
centered
Indicates that one entity is positioned at or around the central point of another entity or reference frame.
-
C.
isCentralHubOf
Indicates that one entity functions as the primary connecting or coordinating hub for activities, resources, or interactions among multiple other entities.
-
D.
hasPastoralCenter
Indicates that an entity possesses or is associated with a pastoral center as one of its facilities or organizational components.
-
E.
wasPilgrimageCenterIn
Indicates that a place functioned as a pilgrimage center in a specified time or period.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60dfaeebc8190ac01d3a0030acf55 |
completed | May 2, 2026, 2:45 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60c68b02c8190870758d79cdec68b |
completed | May 2, 2026, 2:38 p.m. |
Created at: April 26, 2026, 8:18 p.m.