Triple
T941974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaisheshika |
E20324
|
entity |
| Predicate | recognizesSubstance |
P9157
|
FINISHED |
| Object | earth |
—
|
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: earth | Statement: [Vaisheshika, recognizesSubstance, earth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizesSubstance Context triple: [Vaisheshika, recognizesSubstance, earth]
-
A.
substanceType
Indicates the specific kind or category of substance associated with an entity or relation.
-
B.
canRecognize
Indicates that one entity has the ability to identify or distinguish another entity based on its features or characteristics.
-
C.
recognizedAs
Indicates that one entity is acknowledged or accepted as having the identity, role, status, or classification of another entity.
-
D.
allowsTastingOf
Indicates that one entity permits another entity to sample or try the taste of something.
-
E.
helpsIdentify
chosen
Indicates a relationship where one entity serves to distinguish, recognize, or determine the identity or characteristics of another entity.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a1a4888190997adf56eb761431 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29c68f48190aecad10e351a99de |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.