Triple
T14883078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maha Bandula |
E350048
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Danubyu |
E1091383
|
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: Danubyu | Statement: [Maha Bandula, placeOfDeath, Danubyu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danubyu Context triple: [Maha Bandula, placeOfDeath, Danubyu]
-
A.
Danubyu
chosen
Danubyu is a town in Myanmar’s Ayeyarwady Region, historically notable as the site of a major engagement during the First Anglo-Burmese War.
-
B.
Didube
Didube is a metro station in Tbilisi, Georgia, serving as a key transit hub that connects the city’s metro system with major bus and marshrutka routes to other regions.
-
C.
Yambu
Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
-
D.
Bayabas
Bayabas is a coastal municipality in the Philippine province of Surigao del Sur known for its fishing communities and rural seaside landscapes.
-
E.
Dule
Dule are the Indigenous Guna people’s self-designation, referring to themselves as a distinct Native group of Panama and Colombia.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e7c0e48190af2d68a71130585c |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b5af8208190a35451477ea20b03 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:56 a.m.