Triple
T23554278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farsta |
E578135
|
entity |
| Predicate | nearbyWaterBody |
P1094
|
FINISHED |
| Object | Mälaren (regionally nearby) |
—
|
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: Mälaren (regionally nearby) | Statement: [Farsta, nearbyWaterBody, Mälaren (regionally nearby)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mälaren (regionally nearby) Context triple: [Farsta, nearbyWaterBody, Mälaren (regionally nearby)]
-
A.
Lake Mälaren
chosen
Lake Mälaren is a large freshwater lake in eastern Sweden that connects to the Baltic Sea and has Stockholm situated on its shores.
-
B.
Lake Hjälmaren
Lake Hjälmaren is one of Sweden’s largest lakes, located in central Sweden east of Lake Vänern and west of Stockholm.
-
C.
Storsjön
Storsjön is a large lake in central Sweden, famed for its scenic surroundings and the local legend of the lake monster Storsjöodjuret.
-
D.
Lake Vättern
Lake Vättern is Sweden’s second-largest lake, a deep, elongated freshwater body in south-central Sweden known for its clear waters and surrounding historic towns.
-
E.
Munksjön
Munksjön is a small urban lake situated in central Jönköping in southern Sweden, known for its promenades, recreational areas, and proximity to the city’s downtown.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed17fc881908b45dcde14790d42 |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:12 p.m.