Triple
T559094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zurich |
E13407
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Sihl |
E78561
|
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: Sihl | Statement: [Zurich, hasRiver, Sihl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sihl Context triple: [Zurich, hasRiver, Sihl]
-
A.
Sihl River
chosen
The Sihl River is a Swiss river that flows through the canton of Zurich and joins the Limmat in the city of Zurich.
-
B.
Aare
The Aare is Switzerland’s longest entirely domestic river, flowing through major cities like Bern and feeding several lakes before joining the Rhine.
-
C.
Jura
Jura is a remote, sparsely populated island in Scotland’s Inner Hebrides, known for its rugged mountains, large red deer population, and the Jura whisky distillery.
-
D.
Jura
Jura is a predominantly French-speaking canton in northwestern Switzerland known for its Jura Mountains, watchmaking tradition, and strong regional identity.
-
E.
Rhône
Rhône is a department in eastern France named after the Rhône River, known for its capital city Lyon and its significant role in the country's economic and cultural life.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499df43f08190b514a38d36fc271d |
completed | March 1, 2026, 7:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56c475ce88190bf16e5ee76f1d3b5 |
completed | March 2, 2026, 10:53 a.m. |
Created at: March 1, 2026, 7:32 p.m.