Triple
T2915583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olona |
E78597
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lower Olona |
E310949
|
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: Lower Olona | Statement: [Olona, hasPart, Lower Olona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lower Olona Context triple: [Olona, hasPart, Lower Olona]
-
A.
Upper Olona
chosen
Upper Olona is the upstream section of the Olona River, encompassing its higher-altitude course and surrounding watershed.
-
B.
Olosega
Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
-
C.
Olona
The Olona is a river in northern Italy that flows through the Lombardy region, including the city of Milan.
-
D.
Bassa
Bassa is a Bantu language spoken primarily by the Bassa people of Cameroon and neighboring regions.
-
E.
Moura
Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
- 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad96a1a9f8819095fe3198e9d3f6b0 |
completed | March 8, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0866113688190ae222813b017c69f |
completed | March 10, 2026, 9 p.m. |
Created at: March 8, 2026, 2:52 p.m.