Triple
T22302944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamengkubuwono I |
E551302
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Mangkubumi |
—
|
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: Mangkubumi | Statement: [Hamengkubuwono I, alsoKnownAs, Mangkubumi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mangkubumi Context triple: [Hamengkubuwono I, alsoKnownAs, Mangkubumi]
-
A.
Mangkubumi
chosen
Mangkubumi was a Javanese prince who later became Sultan Hamengkubuwono I, the founding ruler of the Yogyakarta Sultanate in Indonesia.
-
B.
Kertabhumi
Kertabhumi was a Javanese ruler associated with the House of Rajasa, remembered as a monarch in the late Majapahit period of Indonesian history.
-
C.
Maa
Maa is a revered Hindu mother goddess, often worshipped in her fierce and protective form as Sherawali, the lion-riding deity.
-
D.
Maa
Maa is a Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania.
-
E.
Tera
Tera is a West Chadic language spoken primarily in northeastern Nigeria by the Tera people.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1572517588190bef6f8bfb76afb19 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.