Triple
T13951907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badulla |
E335546
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Uva |
E409300
|
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: Uva | Statement: [Badulla, historicalRegion, Uva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uva Context triple: [Badulla, historicalRegion, Uva]
-
A.
Uva
chosen
Uva is a historical region in Sri Lanka that formed part of the Kandyan Kingdom and is known for its mountainous terrain and tea-growing highlands.
-
B.
Upurui
Upurui is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
-
C.
Macua
Macua is an alternative name for Makhuwa, a major Bantu ethnic group and language community primarily found in northern Mozambique.
-
D.
Naranjal
Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
-
E.
Umag
Umag is a coastal town in northwestern Croatia known for its tourism, historic old town, and annual ATP tennis tournament.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e146720819085d0f5eae558b7a4 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1cea88081908c37836447410b97 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:17 p.m.