Triple
T23243349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azadirachta |
E581518
|
entity |
| Predicate | oilSource |
P13240
|
FINISHED |
| Object | neem 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: neem oil | Statement: [Azadirachta, oilSource, neem oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oilSource Context triple: [Azadirachta, oilSource, neem oil]
-
A.
oilContent
Indicates the amount or proportion of oil present in a given substance, material, or item.
-
B.
oilType
chosen
Indicates the specific kind or classification of oil associated with an entity.
-
C.
oilSystem
Indicates a relationship where an entity functions as, is part of, or is associated with an oil-based system used for lubrication, operation, or processing.
-
D.
areOilProducingPeople
Indicates that the people in question are involved in or associated with the production of oil.
-
E.
firstOil
Indicates that the subject is the first entity to discover, produce, or commercially extract oil in relation to the object (such as a region, field, or context).
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192efd44c8190b179b4d1cb71efa5 |
completed | April 29, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.