Triple
T32861425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | شهرستان پیشوا |
E840526
|
entity |
| Predicate | مرکز |
P4751
|
FINISHED |
| Object | شهر پیشوا |
—
|
NE NERFINISHED |
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: شهر پیشوا | Statement: [شهرستان پیشوا, مرکز, شهر پیشوا]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مرکز Context triple: [شهرستان پیشوا, مرکز, شهر پیشوا]
-
A.
centerIs
Indicates that one entity serves as the central point or middle position of another entity or space.
-
B.
עיר מרכזית קשורה
Indicates a relationship where one city is connected or associated with another city that serves as a central or main city in some defined context.
-
C.
centered
Indicates that one entity is positioned at or around the central point of another entity or reference frame.
-
D.
centerType
Indicates the classification or category of a center (e.g., type of facility, institution, or hub) associated with an entity.
-
E.
centralIn
chosen
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
- 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_69f34942465c819099b3fb47f9044f58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ceb729fc81908ef924d90de729f1 |
completed | May 3, 2026, 4:27 a.m. |
| PD | Predicate disambiguation | batch_69f6cc177b288190904f3f23cb856d8b |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:17 a.m.