Triple
T22214532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ragama |
E549039
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Ja-Ela |
—
|
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: Ja-Ela | Statement: [Ragama, hasNearbyCity, Ja-Ela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ja-Ela Context triple: [Ragama, hasNearbyCity, Ja-Ela]
-
A.
Ja-Ela
chosen
Ja-Ela is a suburban town in Sri Lanka’s Western Province, situated along the main road between Colombo and Negombo and known as a growing residential and commercial area.
-
B.
Ela
Ela is a feminine given name used in various cultures, often as a short form of names like Eleanor or Elżbieta.
-
C.
Jae
Jae is a professional basketball player best known for his versatile forward play and defensive toughness in the NBA.
-
D.
Jega
Jega is a Nigerian academic and former chairman of the Independent National Electoral Commission, known for overseeing key electoral reforms in Nigeria.
-
E.
Junna
Junna was a 9th-century Japanese emperor of the early Heian period known for his relatively peaceful and stable reign.
- 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.