Triple
T17591389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oriana |
E428456
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Oria |
—
|
NE NERFINISHED |
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: Oria | Statement: [Oriana, hasRelatedName, Oria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oria Context triple: [Oriana, hasRelatedName, Oria]
-
A.
Oria
chosen
Oria is a historic town in Italy’s Apulia region, known for its medieval castle, ancient Messapian roots, and well-preserved old town.
-
B.
Orovada
Orovada is a small unincorporated rural community in northern Nevada known for its agricultural surroundings and location along U.S. Route 95.
-
C.
Orito
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
-
D.
Shiroro
Shiroro is a town in Niger State, Nigeria, known for hosting the major hydroelectric Shiroro Dam on the Kaduna River.
-
E.
Omoa
Omoa is a coastal town and municipality in northern Honduras known for its historic Spanish colonial fortress and Caribbean beaches.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e6e3888190b73a5b6d7e8c0a55 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.