Triple
T7770936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maitraka dynasty |
E179065
|
entity |
| Predicate | politicalStatusAtOrigin |
P63481
|
FINISHED |
| Object | former Gupta governors |
—
|
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: former Gupta governors | Statement: [Maitraka dynasty, politicalStatusAtOrigin, former Gupta governors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalStatusAtOrigin Context triple: [Maitraka dynasty, politicalStatusAtOrigin, former Gupta governors]
-
A.
politicalStatusContext
Indicates the situational or contextual conditions under which a particular political status holds or is evaluated.
-
B.
politicalStatusBefore
chosen
Indicates the political status or condition an entity held prior to a specified event, change, or reference point.
-
C.
isPoliticalStatus
Indicates that a relationship specifies the political condition, classification, or standing associated with an entity.
-
D.
politicalStatusRepresented
Indicates that an entity’s political status is expressed, symbolized, or officially represented by another entity.
-
E.
politicalStatusOfOccupant
Indicates the political role, affiliation, or status held by the occupant of a given position, place, or office.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c7045ebae88190a04c8f972795e615 |
completed | March 27, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69c7016f4ce881909c2e9f610255187b |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:11 p.m.