Triple
T19342524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Sisavang Vong |
E483791
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | Zakarine |
—
|
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: Zakarine | Statement: [King Sisavang Vong, predecessor, Zakarine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zakarine Context triple: [King Sisavang Vong, predecessor, Zakarine]
-
A.
Zakarine
chosen
Zakarine was a Laotian royal figure, known primarily as a member of the Luang Prabang monarchy in the late 19th and early 20th centuries.
-
B.
Zaki
Zaki is a masculine given name of Arabic origin commonly used across the Middle East and North Africa.
-
C.
Barkat
Barkat was one of the prominent martyrs of the Bengali Language Movement in East Bengal, remembered for sacrificing his life in the struggle to preserve the Bengali language and cultural identity.
-
D.
Fayiz
Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
-
E.
Zahawi
Zahawi is the surname of Nadhim Zahawi, a British Conservative politician and former Chancellor of the Exchequer.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185795bc8190a63061ca794c0d67 |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:33 p.m.