Triple
T11469246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naro language |
E271857
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Naro |
E927240
|
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: Naro | Statement: [Naro language, hasAlternativeName, Naro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naro Context triple: [Naro language, hasAlternativeName, Naro]
-
A.
Naro
chosen
Naro are an indigenous Khoisan-speaking people of southern Africa, known for their click-rich Naro language and traditional hunter-gatherer heritage.
-
B.
Nobatae
The Nobatae were an ancient Nubian people who inhabited parts of Lower Nubia and later formed the core population of the early medieval kingdom of Nobatia in what is now southern Egypt and northern Sudan.
-
C.
Naikū
Naikū is the inner sanctuary of Japan’s Ise Grand Shrine, dedicated to the sun goddess Amaterasu and regarded as one of Shinto’s most sacred sites.
-
D.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
E.
Kamsa
Kamsa is a tyrannical king in Hindu mythology, best known as the evil uncle and nemesis of Lord Krishna.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f74144819094479690c8151073 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6042507c4819096afc2839fda186d |
completed | April 20, 2026, 10:47 a.m. |
Created at: April 8, 2026, 9:35 p.m.