Triple
T22382293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanda City government |
E553304
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sanda |
—
|
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: Sanda | Statement: [Sanda City government, locatedIn, Sanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanda Context triple: [Sanda City government, locatedIn, Sanda]
-
A.
Sanda
chosen
Sanda is a city in Japan’s Kansai region known for its residential communities, natural surroundings, and role as a suburban area of Kobe and Osaka.
-
B.
Djanira
Djanira was a prominent Brazilian modernist painter known for her vivid depictions of everyday life, religious themes, and popular culture.
-
C.
Margara
Margara is an Armenian border town situated at a key crossing point along the frontier with Turkey.
-
D.
Yulania
Yulania is a genus of flowering plants in the magnolia family, known for its ornamental, often early-blooming trees and shrubs.
-
E.
Saula
Saula is a small village located in Kose Parish in northern Estonia.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582cce608190b5324b30f349a3ff |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.