Triple
T18569993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaminda Vaas |
E453848
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Vaas |
—
|
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: Vaas | Statement: [Chaminda Vaas, familyName, Vaas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaas Context triple: [Chaminda Vaas, familyName, Vaas]
-
A.
Vaas
chosen
Vaas is a Sri Lankan surname most famously associated with Chaminda Vaas, a former international cricketer and one of Sri Lanka’s greatest fast bowlers.
-
B.
Velen
Velen is a small town in western Germany’s North Rhine-Westphalia region, known for its rural character and historic buildings.
-
C.
Velen
Velen is a legendary draenei prophet and spiritual leader in the Warcraft universe, known for his deep connection to the Light and his long struggle against the Burning Legion.
-
D.
Varel
Varel is a coastal town in northwestern Germany known for its location near the Jade Bight and its mix of maritime industry and tourism.
-
E.
Overath
Overath is a small town in western Germany’s North Rhine-Westphalia, situated near Cologne within the broader Rhine-Ruhr urban area.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53b01331c8190bec3aba40358a843 |
completed | April 19, 2026, 8:28 p.m. |
Created at: April 10, 2026, 11:43 a.m.