Triple
T24068471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bali |
E596158
|
entity |
| Predicate | grantedBoonTo |
P154733
|
FINISHED |
| Object | Vamana |
—
|
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: Vamana | Statement: [Bali, grantedBoonTo, Vamana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedBoonTo Context triple: [Bali, grantedBoonTo, Vamana]
-
A.
receivesBoon
Indicates that one entity is the beneficiary of a boon, gift, or advantageous favor provided by another entity or source.
-
B.
obtainedBoonsFrom
Indicates that one entity has received or gained benefits, favors, or blessings from another entity.
-
C.
usedBoonsFrom
Indicates that one entity has utilized or expended beneficial effects, powers, or advantages that originated from another entity.
-
D.
grantedAsRewardFor
Indicates that something is given to an entity specifically as a reward for a particular action, achievement, or service.
-
E.
blessedWith
Indicates that one entity has received a positive gift, talent, quality, or advantage attributed to another source.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db15866c8190ab931216b8d9c57f |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:40 p.m.