Triple
T22850537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yubi Lakpi |
E566343
|
entity |
| Predicate | objectIsGreasedWith |
P149944
|
FINISHED |
| Object | oil |
—
|
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: oil | Statement: [Yubi Lakpi, objectIsGreasedWith, oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: objectIsGreasedWith Context triple: [Yubi Lakpi, objectIsGreasedWith, oil]
-
A.
hasLubricationMethod
Indicates the method or technique by which lubrication is applied or provided in a given context.
-
B.
isToolOf
Indicates that one entity functions as an instrument or means used by another entity to perform tasks or achieve goals.
-
C.
objectUsed
Indicates that one entity is used as a tool, instrument, or resource in performing an action involving another entity.
-
D.
receivesOilFrom
Indicates that one entity obtains or is supplied with oil from another entity.
-
E.
isThickenedWith
Indicates that one substance has been made more viscous or dense by adding another substance that serves as a thickening agent.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eb74700819090d191b3a7a17034 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:36 p.m.