Triple
T14012162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratnapura |
E337108
|
entity |
| Predicate | roadConnectionTo |
P9041
|
FINISHED |
| Object | Embilipitiya |
E471195
|
NE 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: Embilipitiya | Statement: [Ratnapura, roadConnectionTo, Embilipitiya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Embilipitiya Context triple: [Ratnapura, roadConnectionTo, Embilipitiya]
-
A.
Embilipitiya
chosen
Embilipitiya is a rapidly developing town in southern Sri Lanka known as a commercial hub and gateway to the Udawalawe National Park.
-
B.
Riyom
Riyom is a town and local government area in Plateau State, central Nigeria, known for its distinctive rock formations and as a homeland of the Berom people.
-
C.
Nzera
Nzera is a settlement located within Tanzania’s Geita Region in East Africa.
-
D.
Kasindi
Kasindi is a border town in eastern Democratic Republic of the Congo, located near Uganda and serving as an important regional trade and transport hub.
-
E.
Lusambo
Lusambo is a town in the Democratic Republic of the Congo that once served as an important colonial and regional administrative center in the Kasai area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32b459c81908b652286f444e940 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.