Triple
T12781173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garhi Khuda Bakhsh |
E305508
|
entity |
| Predicate | governingSystemLocal |
P57402
|
FINISHED |
| Object | rural local government of Sindh |
—
|
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: rural local government of Sindh | Statement: [Garhi Khuda Bakhsh, governingSystemLocal, rural local government of Sindh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingSystemLocal Context triple: [Garhi Khuda Bakhsh, governingSystemLocal, rural local government of Sindh]
-
A.
governedForLocalServicesBy
Indicates that an entity’s local services are administered, managed, or overseen by a specified governing authority or body.
-
B.
hasLocalGovernmentSystem
Indicates that an entity possesses or operates under a particular system or structure of local government.
-
C.
governingSystemContext
Indicates the broader political, legal, or organizational system within which an action, decision, or relationship is defined and regulated.
-
D.
hasLocalGovernanceType
chosen
Indicates the specific form or system of local governance that applies to an entity.
-
E.
governingSystemCountry
Indicates that a particular system of governance is the ruling or official governing system used by a given country.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5b52048190b279b7ad066efe9f |
completed | April 10, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:29 p.m.