Triple
T33643814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soil Health Card Scheme |
E861901
|
entity |
| Predicate | languageOfCard |
P187930
|
FINISHED |
| Object | local language |
—
|
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: local language | Statement: [Soil Health Card Scheme, languageOfCard, local language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfCard Context triple: [Soil Health Card Scheme, languageOfCard, local language]
-
A.
primaryLanguageOnCard
Indicates that a specified language is the main or dominant language used on a given card.
-
B.
cardLanguage
chosen
Indicates the language in which a card (such as a document, record, or item) is written or presented.
-
C.
textOnCard
Indicates that specific text content is printed or written on a particular card.
-
D.
languageOfProduct
Indicates the language in which a product is written, labeled, presented, or otherwise made available.
-
E.
languageOnBanknotes
Indicates the language that is printed or used on a country's banknotes.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a002962f6e081909906d6436bae6407 |
completed | May 10, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_6a00284c9c7c8190a77f18a41eee55df |
completed | May 10, 2026, 6:40 a.m. |
Created at: May 1, 2026, 1:42 a.m.