Triple
T22214534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ragama |
E549039
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Kadawatha |
—
|
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: Kadawatha | Statement: [Ragama, hasNearbyCity, Kadawatha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kadawatha Context triple: [Ragama, hasNearbyCity, Kadawatha]
-
A.
Kadawatha
chosen
Kadawatha is a rapidly developing suburban town in Sri Lanka’s Western Province, known as a key transport hub on the outskirts of Colombo.
-
B.
Kandava
Kandava is a small historic town in western Latvia known for its scenic location in the Kurzeme region and well-preserved old town architecture.
-
C.
Kasarvadavali
Kasarvadavali is a rapidly developing residential and commercial locality situated along Ghodbunder Road in Thane, Maharashtra, India.
-
D.
Kadayan
Kadayan is an alternative name for the Kedayan language, an Austronesian language spoken primarily in Brunei, Sabah, and parts of Sarawak.
-
E.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8b13f8819099ed8bebbfea3bc8 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.