Triple
T27112497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siladitya III |
E686751
|
entity |
| Predicate | politicalPhase |
P5023
|
FINISHED |
| Object | later phase of Maitraka power |
—
|
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: later phase of Maitraka power | Statement: [Siladitya III, politicalPhase, later phase of Maitraka power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalPhase Context triple: [Siladitya III, politicalPhase, later phase of Maitraka power]
-
A.
politicalFragmentationPhase
Indicates a stage or period in which a political entity or system is divided into multiple competing or disconnected parts.
-
B.
politicalShift
Indicates a change in an entity’s political position, alignment, or governing structure over time.
-
C.
parliamentarySystemPhase
Indicates the specific stage or period a parliamentary system is currently in within its institutional or procedural lifecycle.
-
D.
politicalTheme
Indicates that something is related to, characterized by, or primarily concerned with politics, governance, or political issues.
-
E.
mainPoliticalDevelopment
chosen
Indicates the primary or most significant political change, event, or evolution affecting an entity within a given period or context.
- 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 27, 2026, 8:54 a.m.