Triple
T26145614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hindustan Motors |
E659653
|
entity |
| Predicate | majorPlantCountry |
P178003
|
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: [Hindustan Motors, majorPlantCountry, India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorPlantCountry Context triple: [Hindustan Motors, majorPlantCountry, India]
-
A.
widelyCultivatedIn
Indicates that something is grown extensively or on a large scale within a particular place or region.
-
B.
majorGrowingCountry
Indicates that a country is experiencing significant economic or developmental growth and is considered one of the leading emerging nations.
-
C.
cultivatedInCountry
Indicates that something (such as a crop, plant, or organism) is grown or produced through cultivation within the specified country.
-
D.
hostsPlantOf
Indicates that one entity serves as a host environment or substrate on which a particular plant lives, grows, or depends.
-
E.
majorCrop
Indicates that a particular crop is one of the primary or most important crops cultivated in a given area or context.
- 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_69ee5bc496a88190af7deb7ab5e081de |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f707f380388190954b79d52a321921 |
completed | May 3, 2026, 8:31 a.m. |
Created at: April 26, 2026, 8:22 p.m.