Triple
T23430736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Rajpur State |
E563320
|
entity |
| Predicate | hasColonialAdministrativeCategory |
P152247
|
FINISHED |
| Object | agency state |
—
|
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: agency state | Statement: [Ali Rajpur State, hasColonialAdministrativeCategory, agency state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColonialAdministrativeCategory Context triple: [Ali Rajpur State, hasColonialAdministrativeCategory, agency state]
-
A.
hadColonialAdministrationType
Indicates the specific form or system of colonial governance that was exercised over a territory or population.
-
B.
hasColonialForm
Indicates that one entity possesses or exhibits a colonial form or structure in relation to another.
-
C.
hasColonialHistory
Indicates that an entity has experienced or participated in a period of colonial rule, control, or administration in relation to another entity.
-
D.
hasColonialHistoryWith
Indicates that one entity has a historical relationship of colonization or being colonized involving the other entity.
-
E.
hasColonialName
Indicates that an entity is known by, or has been assigned, a name originating from a colonial power or colonial period.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5d8130881909e4f3455afef1804 |
completed | April 29, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:48 p.m.