Triple
T34481306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sindhanur |
E885190
|
entity |
| Predicate | hasCropSeason |
P166776
|
FINISHED |
| Object | kharif |
—
|
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: kharif | Statement: [Sindhanur, hasCropSeason, kharif]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCropSeason Context triple: [Sindhanur, hasCropSeason, kharif]
-
A.
growingSeason
Indicates the period of the year during which growth or development actively occurs for the referenced entity.
-
B.
hasCropSpecies
Indicates that a particular location, field, or agricultural system is associated with or used to cultivate a specified crop species.
-
C.
hasFieldSeason
Indicates that an entity is associated with a specific field season during which related activities, observations, or operations take place.
-
D.
sowingSeason
chosen
Indicates the time period during which a particular crop is typically planted or sown.
-
E.
isTypicallyHarvested
Indicates that an entity is commonly gathered or collected, usually at a particular time or stage, for use or consumption.
- 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_69f349c947fc81909d30b53c194d6ea1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 1, 2026, 2:01 a.m.