Triple
T12585786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orbe |
E300456
|
entity |
| Predicate | tributaryOf |
P415
|
FINISHED |
| Object | Aar |
E307737
|
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: Aar | Statement: [Orbe, tributaryOf, Aar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aar Context triple: [Orbe, tributaryOf, Aar]
-
A.
Aar
chosen
Aar is a major river in Switzerland, known as the longest river entirely within the country and a tributary of the High Rhine.
-
B.
Aari
Aari is an Omotic language spoken primarily by the Aari people in southwestern Ethiopia.
-
C.
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.
-
D.
Ain
Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
-
E.
Ain
Ain is the station code for Ainola railway station, a local rail stop in Finland associated with the home of composer Jean Sibelius.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bbe72c8190aa11090bb6b480c9 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ebcfca8819083c26a3d5f94ccdf |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:04 p.m.