Triple
T16567970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gude |
E402510
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Gude’ |
E402510
|
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: Gude’ | Statement: [Gude, hasAlternativeName, Gude’]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gude’ Context triple: [Gude, hasAlternativeName, Gude’]
-
A.
Gude
chosen
Gude is an Afroasiatic Chadic language spoken primarily in parts of northeastern Nigeria and northern Cameroon.
-
B.
Guddal
Guddal is a small village in the municipality of Fjaler in Vestland county, western Norway.
-
C.
Galguduud
Galguduud is a central Somali region known for its arid landscape, pastoralist communities, and strategic location within the Galmudug federal member state.
-
D.
Gode
Gode is a town in eastern Ethiopia’s Somali Region, known as an administrative and commercial center along the Shabelle River.
-
E.
Gwda
Gwda is a river in northwestern Poland that flows through the Pomeranian and Greater Poland regions before joining the Noteć River.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35772f6608190a125c7d3c199c3e2 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ee3dcbc819087ea66b262585232 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.