Triple
T17979826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaka |
E449571
|
entity |
| Predicate | associatedWithClassOfBeings |
P129986
|
FINISHED |
| Object | yakshas |
—
|
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: yakshas | Statement: [Alaka, associatedWithClassOfBeings, yakshas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithClassOfBeings Context triple: [Alaka, associatedWithClassOfBeings, yakshas]
-
A.
associatedBeings
Indicates that two or more beings are linked or connected to each other in some relevant way.
-
B.
associatedWithAnimal
Indicates a relationship where an entity has a connection, link, or relevance to an animal.
-
C.
associationWithHumans
Indicates a general relationship, connection, or involvement between an entity and one or more humans.
-
D.
associatedCreatureInSomeVersions
Indicates that one entity is linked to another entity as a related creature, but only in certain versions or variants of a work or source.
-
E.
belongsToSpecies
Indicates that an individual organism is a member of, or classified under, a particular biological species.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b202aab88190b44851808c75a848 |
completed | April 19, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:22 a.m.