Triple
T5686798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surakarta Sunanate |
E125332
|
entity |
| Predicate | hasTerritoryCore |
P13519
|
FINISHED |
| Object | Surakarta 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: Surakarta region | Statement: [Surakarta Sunanate, hasTerritoryCore, Surakarta region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTerritoryCore Context triple: [Surakarta Sunanate, hasTerritoryCore, Surakarta region]
-
A.
hasComponentTerritory
Indicates that one territory is a constituent or subordinate part of a larger, encompassing territory.
-
B.
hasTerritorialAssociation
Indicates a relationship where an entity is linked or connected to a specific territory, area, or geographic region.
-
C.
definedTerritoryOf
Indicates that one entity specifies or establishes the official territorial boundaries or jurisdiction of another entity.
-
D.
territoryType
Indicates the specific kind or classification of a territory associated with an entity (e.g., country, region, zone, or jurisdiction type).
-
E.
wasCoreTerritoryOf
chosen
Indicates that a region historically formed the central or most important territorial area belonging to a particular political or cultural entity.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.