Triple
T21726771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tskhumi |
E536293
|
entity |
| Predicate | statusOfRegion |
P23251
|
FINISHED |
| Object | partially recognized state |
—
|
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: partially recognized state | Statement: [Tskhumi, statusOfRegion, partially recognized state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOfRegion Context triple: [Tskhumi, statusOfRegion, partially recognized state]
-
A.
statusInRegion
Indicates the specific status or condition an entity holds within a particular geographic or administrative region.
-
B.
regionStatus
chosen
Indicates the current condition, classification, or operational state assigned to a specific geographic or administrative region.
-
C.
statusProgramRegion
Indicates the current state or condition of a program within a specific geographic or administrative region.
-
D.
governsInRegionWithStatus
Indicates that an entity exercises governing authority within a specified region under a particular legal, political, or administrative status.
-
E.
countrySubdivisionStatus
Indicates the administrative or political status assigned to a specific subdivision within a country (such as state, province, or territory).
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd973ac648190bb09e20ac1be2d9b |
completed | April 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:48 p.m.