Triple
T2881999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District 5 |
E59416
|
entity |
| Predicate | typeOfRegion |
P1828
|
FINISHED |
| Object | transportation administrative region |
—
|
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: transportation administrative region | Statement: [District 5, typeOfRegion, transportation administrative region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRegion Context triple: [District 5, typeOfRegion, transportation administrative region]
-
A.
regionType
chosen
Indicates the classification or category of a region, specifying what kind of region it is (e.g., administrative, geographic, or functional).
-
B.
stratotypeRegion
Indicates the region or geographic area that serves as the reference or standard location (stratotype) for a particular stratigraphic unit or interval.
-
C.
territoryType
Indicates the specific kind or classification of a territory associated with an entity (e.g., country, region, zone, or jurisdiction type).
-
D.
arealRegion
Indicates that something occupies or pertains to a specific two-dimensional geographic or spatial area.
-
E.
naturalRegionType
Indicates the type or category of natural region to which a given area or place belongs.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe02aa5948190a2e0bd9168232bd5 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.