Triple
T10489616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gambela Region |
E247380
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Gambela |
E867090
|
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: Gambela | Statement: [Gambela Region, largestCity, Gambela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gambela Context triple: [Gambela Region, largestCity, Gambela]
-
A.
Gambela
chosen
Gambela is a town in western Ethiopia located near the Baro River, known as a trading center and gateway to the Gambela Region bordering South Sudan.
-
B.
Tognana
Tognana is a frazione (hamlet) of the municipality of Piove di Sacco in the Veneto region of northern Italy.
-
C.
Berbera
Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
-
D.
Guaragna
Guaragna is the original Italian family name of American composer and songwriter Harry Warren, known for his influential contributions to film and popular music.
-
E.
Nigoglia
Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097ca5c081908b47a08ca7885650 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dc44d7881908391487275b845bf |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:23 p.m.