Triple
T26210495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manasa |
E655474
|
entity |
| Predicate | majorCultRegion |
P1968
|
FINISHED |
| Object | Bengal |
—
|
NE NERFINISHED |
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: Bengal | Statement: [Manasa, majorCultRegion, Bengal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorCultRegion Context triple: [Manasa, majorCultRegion, Bengal]
-
A.
culturalRegion
chosen
Indicates that an entity is located in, associated with, or belongs to a specific cultural region or cultural area.
-
B.
primaryCropRegion
Indicates that a region is a main or predominant area where a particular crop is grown or produced.
-
C.
shareMajorCityRegion
Indicates that two entities are associated with the same major city or its surrounding metropolitan region.
-
D.
macroArea
Indicates a broad geographic or regional grouping within which an entity (such as a language or location) is situated.
-
E.
missionRegion
Indicates the geographic or administrative region in which a mission is carried out or assigned.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 26, 2026, 8:52 p.m.