Triple
T13680411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orientale Province |
E327984
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Aru |
E516361
|
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: Aru | Statement: [Orientale Province, containsCity, Aru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aru Context triple: [Orientale Province, containsCity, Aru]
-
A.
Aru
chosen
Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
-
B.
Aru
Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
-
C.
Aruimi
Aruimi is an alternative name used for the Aruwimi River, a major tributary of the Congo River in central Africa.
-
D.
Arua
Arua is a major town in northwestern Uganda that serves as an important commercial and transport hub near the borders with the Democratic Republic of the Congo and South Sudan.
-
E.
Aaru
Aaru is the ancient Egyptian paradise, envisioned as a lush, idealized reed-filled afterlife where the righteous dead lived in eternal peace and abundance.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66cbb088190907cb89dda8e4ebd |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944347a08190bc1386e78ddb3e71 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.