Triple
T22860359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelani River |
E566900
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Biyagama |
—
|
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: Biyagama | Statement: [Kelani River, near, Biyagama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biyagama Context triple: [Kelani River, near, Biyagama]
-
A.
Biyagama
chosen
Biyagama is an industrial suburb and free trade zone area in Sri Lanka’s Western Province, known for its manufacturing facilities and proximity to Colombo.
-
B.
Boroko
Boroko is a major residential and commercial suburb of Port Moresby in Papua New Guinea, known for its shopping areas and sports facilities.
-
C.
Yagwa
Yagwa is an alternative name for the Masa people, an ethnic group primarily living in parts of Cameroon and Chad.
-
D.
Sanamahi
Sanamahi is a principal household and creator deity in the traditional Meitei religion of Manipur, revered as a protector of families and the universe.
-
E.
Sanggha
Sanggha is an alternative transliteration of "Sangha," the Buddhist monastic community of monks and nuns regarded as one of the Three Jewels of Buddhism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ec082c08190943e6cfc2e25c5cc |
completed | April 29, 2026, 3:45 a.m. |
Created at: April 17, 2026, 3:37 p.m.