Triple
T19939722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stockholm inner waterways |
E479275
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Strömmen |
—
|
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: Strömmen | Statement: [Stockholm inner waterways, hasPart, Strömmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strömmen Context triple: [Stockholm inner waterways, hasPart, Strömmen]
-
A.
Strömmen
chosen
Strömmen is the central waterway in Stockholm, Sweden, connecting Lake Mälaren with the Baltic Sea and flowing around the city’s historic core.
-
B.
Motala Ström
Motala Ström is a river in Östergötland, Sweden, that drains Lake Vättern and flows eastward through several towns before reaching the Baltic Sea.
-
C.
Strømmen
Strømmen is a town in Lillestrøm municipality in Viken county, Norway, known for its shopping mall Strømmen Storsenter and its historical industrial and railway heritage.
-
D.
Strömsbruk
Strömsbruk is a small locality in northern Sweden, situated within Nordanstig Municipality in Gävleborg County.
-
E.
Smedslätten
Smedslätten is a residential district in the Bromma borough of western Stockholm, Sweden, known for its green areas and proximity to Lake Mälaren.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a19d77c819088bce99c94568d0d |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.