Triple
T31668246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemon |
E808192
|
entity |
| Predicate | majorProducer |
P33520
|
FINISHED |
| Object | India |
—
|
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: India | Statement: [Lemon, majorProducer, India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorProducer Context triple: [Lemon, majorProducer, India]
-
A.
notableManufacturer
Indicates that an entity is a well-known or prominent producer or maker of another entity.
-
B.
primaryProducer
Indicates that an entity produces a good, service, or resource as the initial source in a supply, economic, or ecological chain.
-
C.
majorProductionHub
Indicates that a location serves as a primary center where large-scale production or manufacturing activities are concentrated.
-
D.
majorStudio
Indicates that an entity is a large, primary film or media production and distribution company within the entertainment industry.
-
E.
isMajorProducerOf
chosen
Indicates that an entity plays a leading or highly significant role in producing or supplying a particular product, resource, or output.
- 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_69f348dbeef4819080b446a7feb6340b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe9b0276d48190b554fa22b043e6d8 |
completed | May 9, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69fe999692b081909921e1148d66f0ef |
completed | May 9, 2026, 2:19 a.m. |
Created at: April 30, 2026, 11 p.m.