Triple
T15040428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Söderort |
E378584
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sätra |
E519643
|
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: Sätra | Statement: [Söderort, hasPart, Sätra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sätra Context triple: [Söderort, hasPart, Sätra]
-
A.
Sätra
chosen
Sätra is a suburban district in southwestern Stockholm, Sweden, known for its residential areas and proximity to Lake Mälaren.
-
B.
Motala
Motala is a town in southern Sweden known for its location on Lake Vättern and its historic role as an industrial and canal hub.
-
C.
Svedala
Svedala is a locality and municipality in southern Sweden, known for its proximity to Malmö and its mix of residential areas, industry, and surrounding farmland.
-
D.
Sieda
Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
-
E.
Kingissepa
Kingissepa is the former Soviet-era name of the Estonian town now known as Kuressaare, located on Saaremaa Island.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82e79a481908ddb9609af8c4407 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5b75c04819085996a7f88ab6c38 |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 3 a.m.