Triple
T13396185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliniaceae |
E319706
|
entity |
| Predicate | typeGenus |
P5980
|
FINISHED |
| Object | Olinia |
E1039657
|
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: Olinia | Statement: [Oliniaceae, typeGenus, Olinia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olinia Context triple: [Oliniaceae, typeGenus, Olinia]
-
A.
Olinia
chosen
Olinia is a genus of flowering plants in the family Oliniaceae, comprising shrubs and small trees native mainly to southern Africa.
-
B.
Aliveri
Aliveri is a coastal town on the island of Euboea in Greece, known for its port, industrial facilities, and proximity to the South Euboean Gulf.
-
C.
Ogna
Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
-
D.
Marone
Marone is a small Italian town in Lombardy situated on the eastern shore of Lake Iseo, known for its lakeside scenery and proximity to the surrounding mountains.
-
E.
Tersina
Tersina is a small genus of brightly colored Neotropical birds in the tanager family, best known for the swallow tanager.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d892d08190b1b192b93fe3d72d |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73983b8f08190bf4d1a64c0beab97 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:34 p.m.