Triple
T7465005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipal council of Soral |
E176350
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Soral |
E33003
|
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: Soral | Statement: [municipal council of Soral, locatedIn, Soral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soral Context triple: [municipal council of Soral, locatedIn, Soral]
-
A.
Soral
chosen
Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
-
B.
Sambon
Sambon was a zoologist and parasitologist known for his taxonomic work on parasitic organisms, including naming the human blood fluke Schistosoma mansoni.
-
C.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
D.
Sarti
Sarti is a coastal village and popular beach resort on the Sithonia peninsula in northern Greece, known for its scenic shoreline and views of Mount Athos.
-
E.
Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f28f34819080713a8abcc22034 |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c5f1f408190a7d42abe28605ddb |
completed | March 28, 2026, 8:38 p.m. |
Created at: March 27, 2026, 3:40 p.m.