Triple
T36487195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LISS-I sensor |
E898963
|
entity |
| Predicate | regionOfPrimaryInterest |
P24244
|
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: [LISS-I sensor, regionOfPrimaryInterest, India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfPrimaryInterest Context triple: [LISS-I sensor, regionOfPrimaryInterest, India]
-
A.
regionOfInterest
chosen
Indicates a specifically defined spatial or conceptual area that is selected for focused attention, analysis, or processing within a broader context.
-
B.
regionOfInterestTo
Indicates that one entity is a region or area that is of particular interest or relevance to another entity.
-
C.
regionOfPrimaryOperation
Indicates the geographic area where an entity primarily conducts its main activities or operations.
-
D.
regionOfRecognition
Indicates the geographic or administrative area within which something is officially acknowledged, valid, or recognized.
-
E.
selectionRegion
Indicates a relationship where a specific region or area is designated as the active selection within a larger space or context.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0019b0e9fc81909494320f05e81742 |
completed | May 10, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_6a00193379e0819096d1985686ce10e3 |
completed | May 10, 2026, 5:35 a.m. |
Created at: May 3, 2026, 4:10 p.m.