Triple
T36514901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oceansat series |
E900008
|
entity |
| Predicate | startOfProgramme |
P89186
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Oceansat series, startOfProgramme, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfProgramme Context triple: [Oceansat series, startOfProgramme, 1990s]
-
A.
programmeStart
chosen
Indicates the point in time or event at which a programme begins or is initiated.
-
B.
programOn
Indicates that a program is scheduled to be broadcast or presented on a particular channel, station, platform, or device.
-
C.
programmeName
Indicates that an entity has or is identified by a specific programme’s name.
-
D.
launchProgram
Indicates initiating the execution of a specified software application or program.
-
E.
programOf
Indicates that one entity is a program (such as a course of study or curriculum) that is offered, managed, or associated with another entity (such as an institution, department, or organization).
- 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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a00ada2903481908b28ce55ef97a6c2 |
completed | May 10, 2026, 4:09 p.m. |
| PD | Predicate disambiguation | batch_6a00ad5d23788190b3f9e2de761d39bb |
completed | May 10, 2026, 4:07 p.m. |
Created at: May 3, 2026, 4:10 p.m.