Triple
T19939726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stockholm inner waterways |
E479275
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Årstaviken |
—
|
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: Årstaviken | Statement: [Stockholm inner waterways, hasPart, Årstaviken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Årstaviken Context triple: [Stockholm inner waterways, hasPart, Årstaviken]
-
A.
Årstaviken
chosen
Årstaviken is a bay of the Baltic Sea in central Stockholm, Sweden, known for its waterfront promenades, marinas, and recreational areas.
-
B.
Bällstaviken
Bällstaviken is a bay of Lake Mälaren in the Stockholm area, known for its urban waterfront, walking paths, and proximity to several residential districts including Sundbyberg.
-
C.
Ältasjön
Ältasjön is a lake in the Stockholm area of Sweden, known for its recreational opportunities and natural surroundings within the Nacka nature reserve.
-
D.
Sennevika
Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
-
E.
Brunnsviken
Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
- 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.