Triple
T11015059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shah Murad |
E260341
|
entity |
| Predicate | sphereOfGovernment |
P97002
|
FINISHED |
| Object | military affairs |
—
|
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: military affairs | Statement: [Shah Murad, sphereOfGovernment, military affairs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sphereOfGovernment Context triple: [Shah Murad, sphereOfGovernment, military affairs]
-
A.
seatOfGovernment
Indicates that a location serves as the administrative center where a government exercises its official authority and conducts its primary governing functions.
-
B.
seatOfSovereignty
Indicates that a location serves as the primary center of governing authority or ruling power for a political entity.
-
C.
sovereignGovernment
Indicates that a government possesses ultimate authority and independence over a defined territory, free from external control.
-
D.
hostGovernment
Indicates that a government serves as the official host or primary responsible authority for an event, activity, organization, or foreign presence within its jurisdiction.
-
E.
politicalSphere
Indicates involvement or relevance within the domain of politics, governance, or public policy activities and interactions.
- F. None of above. chosen
Provenance (4 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a49f648190a5144625d09dec6f |
completed | April 9, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d733b27ffc81908ab1b8df198cd5c7 |
completed | April 9, 2026, 5:05 a.m. |
Created at: April 8, 2026, 9:25 p.m.