Triple
T6099053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laiyolo language |
E135948
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Laiyolo’ |
E569536
|
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: Laiyolo’ | Statement: [Laiyolo language, hasAlternativeName, Laiyolo’]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laiyolo’ Context triple: [Laiyolo language, hasAlternativeName, Laiyolo’]
-
A.
Laiyolo
chosen
Laiyolo is an Austronesian language spoken by a small community in South Sulawesi, Indonesia.
-
B.
Rolihlahla
Rolihlahla is the Xhosa birth name of Nelson Mandela, meaning “troublemaker” and reflecting his cultural origins.
-
C.
Hla’alua
Hla’alua are a small indigenous ethnic group of Taiwan with their own distinct language, culture, and traditions, officially recognized by the Taiwanese government.
-
D.
Dilofo
Dilofo is a traditional stone-built mountain village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic setting.
-
E.
Mabalako
Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a9a02888190ac201acd14c3fc31 |
completed | March 22, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c14158c4fc81908a42e431423284d2 |
completed | March 23, 2026, 1:34 p.m. |
Created at: March 22, 2026, 4:13 p.m.