Triple
T32984585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myittha Township |
E843902
|
entity |
| Predicate | subdivisionNameRegion |
P64801
|
FINISHED |
| Object | Mandalay Region |
—
|
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: Mandalay Region | Statement: [Myittha Township, subdivisionNameRegion, Mandalay Region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subdivisionNameRegion Context triple: [Myittha Township, subdivisionNameRegion, Mandalay Region]
-
A.
subdivisionNameType
Indicates the type or category of a named geographic or administrative subdivision (e.g., province, state, district) associated with an entity.
-
B.
provincialSubdivisionName
chosen
Indicates the name assigned to a first-level administrative or provincial subdivision within a larger territorial or political entity.
-
C.
subdivisionName0
Indicates the name assigned to the first (primary) subdivision or sub-unit associated with an entity.
-
D.
subdivisionNameExample
Indicates that the predicate provides an example name of a subdivision (such as a district, region, or administrative area) associated with an entity.
-
E.
subregionName
Indicates that one region is identified by a specific name used for a smaller or subordinate geographic or administrative area within a larger region.
- 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_69f3494c6f9c8190a255409fce8b1d3b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d1df503c81908891d658ed0ed09c |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:22 a.m.