Triple
T4064932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sille Dam Lake |
E86301
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sille |
E410094
|
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: Sille | Statement: [Sille Dam Lake, locatedNear, Sille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sille Context triple: [Sille Dam Lake, locatedNear, Sille]
-
A.
Sille
chosen
Sille is a historic village near Konya in central Turkey, known for its ancient rock-cut architecture and long-standing Greek Orthodox and Turkish cultural heritage.
-
B.
Tillé
Tillé is a commune in northern France best known for hosting Beauvais–Tillé Airport, a secondary hub for low-cost flights serving the Paris region.
-
C.
Svaneke
Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
-
D.
Storslett
Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
-
E.
Schierke
Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbf44c888190b5746d93e9f8e3a3 |
completed | March 9, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b55b5388190a90551c43388f3fc |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:38 p.m.