Triple
T15135344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Internet in Nepal |
E361539
|
entity |
| Predicate | firstCommercialISPLaunch |
P40835
|
FINISHED |
| Object | 1995 |
—
|
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: 1995 | Statement: [Internet in Nepal, firstCommercialISPLaunch, 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCommercialISPLaunch Context triple: [Internet in Nepal, firstCommercialISPLaunch, 1995]
-
A.
firstCommercialUse
Indicates the earliest point in time at which something was used commercially or put into commercial operation.
-
B.
locationOfFirstCommercialUse
Indicates the place where something was first used commercially.
-
C.
wasFirstCommercializedBy
Indicates that the subject was initially brought to market or made commercially available by the object.
-
D.
firstCommercialReleaseYear
chosen
Indicates the calendar year in which something (such as a product, work, or service) was first made commercially available to the public.
-
E.
firstCommercialPlant
Indicates that the subject is the first commercial-scale plant or facility of its kind to be established or operated.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b3f6f48190b1ed7c7b28feb7a6 |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:07 a.m.