Triple
T32135629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarma |
E820756
|
entity |
| Predicate | cookingLiquid |
P12771
|
FINISHED |
| Object | water |
—
|
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: water | Statement: [Sarma, cookingLiquid, water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cookingLiquid Context triple: [Sarma, cookingLiquid, water]
-
A.
usesIngredient
chosen
Indicates that one entity employs or incorporates another entity as an ingredient in its composition or creation.
-
B.
typicalIngredientRatio
Indicates the usual proportional relationship between different ingredients used together in a preparation or mixture.
-
C.
ingredientType
Indicates that one entity is classified as a specific type or category of ingredient in relation to another.
-
D.
cookingFuel
Indicates that one entity serves as the fuel or energy source used by another entity for cooking activities.
-
E.
typicalBoilingTime
Indicates the usual duration required for something to reach or remain at its boiling point under standard conditions.
- 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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b9a9bc4c8190a88918fc4f91136a |
completed | May 3, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:30 a.m.