Triple
T9953425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nengone |
E195386
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Nengoné |
E195386
|
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: Nengoné | Statement: [Nengone, hasAlternativeName, Nengoné]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nengoné Context triple: [Nengone, hasAlternativeName, Nengoné]
-
A.
Nengone
chosen
Nengone is an Austronesian language spoken primarily by the indigenous Kanak people on Maré Island in New Caledonia.
-
B.
Ngola
Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
-
C.
Lélouma
Lélouma is a significant urban center in the Middle Guinea region of Guinea, serving as an important local hub for administration and commerce.
-
D.
Mundemba
Mundemba is a town in southwestern Cameroon known as a gateway to the biodiverse Korup National Park.
-
E.
Konjo
Konjo is an Austronesian language spoken by the Konjo people of South Sulawesi, Indonesia.
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb693918081908e9f96ef302235ad |
completed | April 2, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d6743c481908a2040eb9d260b4a |
completed | April 5, 2026, 10:45 a.m. |
Created at: March 30, 2026, 8:46 p.m.