Triple
T25683941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goddess Kamakhya |
E644016
|
entity |
| Predicate | numberOfPrimaryForms |
P43830
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Goddess Kamakhya, numberOfPrimaryForms, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPrimaryForms Context triple: [Goddess Kamakhya, numberOfPrimaryForms, 10]
-
A.
numberOfPrimaryVarieties
chosen
Indicates the count of distinct primary varieties associated with a given entity.
-
B.
hasPrimaryWordFormationProcess
Indicates that one entity is the main or predominant word-formation process by which another entity (typically a word or lexical item) is formed.
-
C.
numberOfRegionalFormsIntroduced
Indicates the quantity of distinct regional variants that have been introduced.
-
D.
numberOfMainVerb
Indicates the count of main verbs present in a given clause, sentence, or linguistic unit.
-
E.
numberOfPrimaryPoets
Indicates the count of primary poets associated with a given entity 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_69e77e8046888190b07ffa58c7e2c37a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: April 21, 2026, 8:05 p.m.