Triple
T22933163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ledo Kaili |
E569500
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Kaili Ledo |
—
|
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: Kaili Ledo | Statement: [Ledo Kaili, hasAlternativeName, Kaili Ledo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaili Ledo Context triple: [Ledo Kaili, hasAlternativeName, Kaili Ledo]
-
A.
Kaili Ledo
chosen
Kaili Ledo is a major Austronesian language variety spoken by the Kaili people of Central Sulawesi, Indonesia.
-
B.
Mia Ausa
Mia Ausa is a young, kind-hearted magician and the daughter of the Magic Guild's leader in the role-playing game Lunar: The Silver Star.
-
C.
Ledo Kaili
Ledo Kaili is a major Austronesian language variety spoken by the Kaili people of Central Sulawesi, Indonesia.
-
D.
Kaélé
Kaélé is a town in northern Cameroon that serves as an important local center for administration and trade in the Far North Region.
-
E.
Anilore Banon
Anilore Banon is a French sculptor best known for creating the monumental World War II memorial "Les Braves" on Omaha Beach in Normandy.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181337ff881909d90cf3f5bae7516 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.