Triple
T16346244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayadunne of Sitawaka |
E396938
|
entity |
| Predicate | placeOfActivity |
P1527
|
FINISHED |
| Object | Sitawaka |
E396940
|
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: Sitawaka | Statement: [Mayadunne of Sitawaka, placeOfActivity, Sitawaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sitawaka Context triple: [Mayadunne of Sitawaka, placeOfActivity, Sitawaka]
-
A.
Sitawaka
chosen
Sitawaka was a powerful 16th-century Sinhalese kingdom in Sri Lanka known for its resistance against Portuguese colonial expansion.
-
B.
Kalutara
Kalutara is a major coastal town in western Sri Lanka, known for its historic Buddhist temple, scenic beaches, and role as a regional commercial hub.
-
C.
Nancagua
Nancagua is a town and commune in central Chile’s Colchagua Valley, known for its agricultural activity and wine production.
-
D.
Atalaya
Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
-
E.
Kolonnawa
Kolonnawa is a suburb and urban area in Sri Lanka located within the Colombo metropolitan region.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da0ec7e08190982a0de8ba5da105 |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0035587c3481908448f75e5a56d2cb |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 5:07 a.m.