Triple
T18228959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahrain Island |
E436492
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Saar |
—
|
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: Saar | Statement: [Bahrain Island, hasCity, Saar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saar Context triple: [Bahrain Island, hasCity, Saar]
-
A.
Saar
chosen
Saar is a residential town and affluent suburb in the Kingdom of Bahrain, known for its archaeological sites and proximity to the capital, Manama.
-
B.
Saar
The Saar is a river in western Europe that flows through northeastern France and western Germany, giving its name to the German state of Saarland.
-
C.
Saar
Saar was a short-lived postwar German protectorate that competed independently in international events, including the Olympics, before rejoining West Germany.
-
D.
Saar River
The Saar River is a major river in northeastern France and western Germany that flows through the industrial region of Saarland before joining the Moselle.
-
E.
White Saar
White Saar is a distinct section or branch of the Saar river system, likely named for its clearer or lighter-colored waters compared to other Saar tributaries.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b1b2108190a5585bbfaf2d295b |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:33 a.m.