Triple
T9968383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolph Lundgren |
E195740
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Spånga |
E468914
|
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: Spånga | Statement: [Dolph Lundgren, placeOfBirth, Spånga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spånga Context triple: [Dolph Lundgren, placeOfBirth, Spånga]
-
A.
Stockholm Östra
Stockholm Östra is a railway terminus in central Stockholm that serves as the main city station for the narrow-gauge Roslagsbanan commuter rail line.
-
B.
Solna Municipality
Solna Municipality is an urban municipality in the Stockholm metropolitan area of Sweden, known for hosting major institutions such as Friends Arena and the Karolinska Institute.
-
C.
Kungsholmen
Kungsholmen is a central island and district of Stockholm known for its waterfront promenades, residential areas, and the iconic Stockholm City Hall.
-
D.
Östermalm
Östermalm is an affluent central district of Stockholm known for its upscale residential areas, embassies, and high-end shopping and dining.
-
E.
Bromma
chosen
Bromma is a suburban district in western Stockholm, Sweden, known for its residential areas, green spaces, and the city’s secondary airport.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b683ac8190ac97bd775a860d29 |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23db701b881909bb986a32df4349b |
completed | April 5, 2026, 10:47 a.m. |
Created at: March 30, 2026, 8:47 p.m.