Triple
T21053695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngulu language |
E518652
|
entity |
| Predicate | hasAlternateName |
P39
|
FINISHED |
| Object | Nguru |
—
|
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: Nguru | Statement: [Ngulu language, hasAlternateName, Nguru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nguru Context triple: [Ngulu language, hasAlternateName, Nguru]
-
A.
Nguru
chosen
Nguru is a town and local government area in northeastern Nigeria known as a commercial hub and railway terminus in Yobe State.
-
B.
Wawona
Wawona is a historic community and visitor area within Yosemite National Park in California, known for its scenic meadows, giant sequoias, and proximity to natural and cultural landmarks.
-
C.
Nakasero
Nakasero is a central and upscale neighborhood in Kampala, Uganda, known for its government offices, embassies, hotels, and commercial centers.
-
D.
Mataranka
Mataranka is a small town in Australia's Northern Territory, known for its thermal springs and location near Elsey National Park.
-
E.
Takura
Takura is a rural locality in Queensland, Australia, situated near the community associated with Howard.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7e087c81908712ddc63e8b1e6c |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:36 p.m.