Triple
T32046097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sari, Kerman |
E818354
|
entity |
| Predicate | hasRegionalLocation |
P203671
|
FINISHED |
| Object | southeast of Iran |
—
|
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: southeast of Iran | Statement: [Sari, Kerman, hasRegionalLocation, southeast of Iran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionalLocation Context triple: [Sari, Kerman, hasRegionalLocation, southeast of Iran]
-
A.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
B.
hasRegionalPosition
Indicates that one entity holds a specific role, status, or placement within a defined geographic or regional context relative to another entity.
-
C.
hasRegionalEntity
Indicates that one entity includes, governs, or is associated with another entity that functions as its regional subdivision or component.
-
D.
isRegional
Indicates that something pertains to, is characteristic of, or is limited to a specific geographic region or area.
-
E.
hasRegionalProfile
Indicates that an entity is associated with or characterized by a specific regional profile or set of region-based attributes.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01c41dfe248190a68f4a262591b30f |
completed | May 11, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_6a01c375d14c8190a15bfa12623588a9 |
completed | May 11, 2026, 11:54 a.m. |
| PDg | Predicate description generation | batch_6a01c41d38608190923c5fd32a59b865 |
completed | May 11, 2026, 11:57 a.m. |
Created at: May 1, 2026, 12:20 a.m.