Triple
T20682468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nacka station |
E508327
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Nacka |
—
|
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: Nacka | Statement: [Nacka station, serves, Nacka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nacka Context triple: [Nacka station, serves, Nacka]
-
A.
Nacka
chosen
Nacka is a suburban municipality just east of central Stockholm in Sweden, known for its mix of urban development, coastal landscapes, and nature reserves.
-
B.
Nacka Municipality
Nacka Municipality is a suburban and coastal municipality just east of central Stockholm, known for its mix of urban development, archipelago nature, and proximity to the Swedish capital.
-
C.
Mangere
Mangere is a suburb of Auckland, New Zealand, known for its large Pacific Islander communities and proximity to Auckland Airport.
-
D.
Häggenås
Häggenås is a small locality in Jämtland County, northern Sweden, situated within Östersund Municipality.
-
E.
Spånga
Spånga is a suburban district in western Stockholm, Sweden, known for its residential areas, local center, and commuter rail connections to the city.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea9771881908a077d01f53f6d52 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:45 a.m.