Triple
T34483733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byari |
E885256
|
entity |
| Predicate | spokenAlongCoast |
P71897
|
FINISHED |
| Object | Arabian Sea coast of Karnataka |
—
|
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: Arabian Sea coast of Karnataka | Statement: [Byari, spokenAlongCoast, Arabian Sea coast of Karnataka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenAlongCoast Context triple: [Byari, spokenAlongCoast, Arabian Sea coast of Karnataka]
-
A.
spokenOnCoastOf
chosen
Indicates that something (typically a language or dialect) is spoken in regions located along a coastline.
-
B.
spokenOffCoastOf
Indicates that a language or speech variety is used or heard in areas located off the coast of a particular place, typically on nearby islands or maritime regions.
-
C.
extendsAlongCoastOf
Indicates that one entity stretches or runs parallel along the coastline of another entity.
-
D.
countryCoast
Indicates that a country has a coastline along a sea or ocean.
-
E.
spokenAlong
Indicates that two or more languages are used concurrently or within the same context in a particular place, time, or situation.
- 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_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:01 a.m.