Triple
T26611525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamarupa Kingdom |
E667936
|
entity |
| Predicate | capitalAlsoKnownAs |
P167294
|
FINISHED |
| Object | Pragjyotisha |
—
|
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: Pragjyotisha | Statement: [Kamarupa Kingdom, capitalAlsoKnownAs, Pragjyotisha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalAlsoKnownAs Context triple: [Kamarupa Kingdom, capitalAlsoKnownAs, Pragjyotisha]
-
A.
capitalLocation
Indicates the relationship in which a place serves as the capital city or administrative center of a given political or geographic entity.
-
B.
capitalAreaOf
Indicates that a specified area value represents the total land or geographic size of the capital city of a given entity.
-
C.
capitalOftenLocatedIn
Indicates that the capital city of a region or country is frequently, though not always, situated within a particular location or type of area.
-
D.
capitalLikeCity
Indicates that a capital city shares similar characteristics or status to a particular city.
-
E.
destinationCapitalOf
Indicates that a location serves as the capital city of the specified destination or region.
- 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 27, 2026, 2:16 a.m.