Triple
T1529509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indira Gandhi Canal |
E32407
|
entity |
| Predicate | enablesCrop |
P13242
|
FINISHED |
| Object | wheat |
—
|
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: wheat | Statement: [Indira Gandhi Canal, enablesCrop, wheat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enablesCrop Context triple: [Indira Gandhi Canal, enablesCrop, wheat]
-
A.
includesCrop
chosen
Indicates that one entity (such as a field, farm, or agricultural area) contains or has within it a specified crop.
-
B.
introducedCrop
Indicates that an entity brought a crop species into a new area or context where it was not previously present or cultivated.
-
C.
regionOfInterest
Indicates a specifically defined spatial or conceptual area that is selected for focused attention, analysis, or processing within a broader context.
-
D.
mayCoverArea
Indicates that one entity is permitted or able to extend over, include, or encompass a specified spatial area.
-
E.
canSet
Indicates that one entity has the ability or permission to assign, configure, or change a property, value, or state of another entity.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.