Triple
T26586269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | postcolonial Bengal |
E667217
|
entity |
| Predicate | hasPoliticalProcess |
P109963
|
FINISHED |
| Object | decolonization |
—
|
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: decolonization | Statement: [postcolonial Bengal, hasPoliticalProcess, decolonization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalProcess Context triple: [postcolonial Bengal, hasPoliticalProcess, decolonization]
-
A.
hasLegislativeProcess
Indicates that there exists a specific legislative procedure or set of steps governing how laws or regulations are proposed, debated, and enacted for the related entity.
-
B.
hasPoliticalCurrent
Indicates that an entity is associated with, aligned to, or characterized by a particular political current, ideology, or movement.
-
C.
hasPoliticalActivityIn
Indicates that an entity engages in or is associated with political activities within a specified location or jurisdiction.
-
D.
hasPoliticalComponent
chosen
Indicates that something includes, involves, or is influenced by political factors, interests, or considerations.
-
E.
hasPoliticalDialogue
Indicates that there is an exchange or interaction between entities involving political topics, issues, or negotiations.
- 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_69ee9cfb7e548190b60a9031182f5a7e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 27, 2026, 2:05 a.m.