Triple
T22713097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HU-23 |
E561652
|
entity |
| Predicate | hasSubdivisionLevel |
P76170
|
FINISHED |
| Object | first-level subdivision |
—
|
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: first-level subdivision | Statement: [HU-23, hasSubdivisionLevel, first-level subdivision]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubdivisionLevel Context triple: [HU-23, hasSubdivisionLevel, first-level subdivision]
-
A.
hasHigherLevelSubdivision
Indicates that one administrative or organizational unit is contained within and subordinate to a larger, higher-level subdivision.
-
B.
hasHigherLevelSubdivisionType
Indicates that one administrative or territorial subdivision type is hierarchically above another within a broader organizational structure.
-
C.
hasSubdivision
Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
-
D.
hasCountrySubdivisionLevel
chosen
Indicates the hierarchical administrative level or tier at which a given country subdivision (such as a state, province, or region) is defined within the country's overall territorial organization.
-
E.
hasSubdivisionCode
Indicates that an entity is associated with a specific code identifying one of its internal subdivisions (such as a state, province, or 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790ab6208190a342f076002324ab |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:18 p.m.