Triple
T5697723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Västerhaninge |
E125579
|
entity |
| Predicate | hasNearbyLocality |
P3883
|
FINISHED |
| Object | Tungelsta |
E129713
|
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: Tungelsta | Statement: [Västerhaninge, hasNearbyLocality, Tungelsta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tungelsta Context triple: [Västerhaninge, hasNearbyLocality, Tungelsta]
-
A.
Tungelsta
chosen
Tungelsta is a locality in Stockholm County, Sweden, known for its residential character and commuter connections within the Haninge area.
-
B.
Tullinge
Tullinge is a suburban locality in the Stockholm region of Sweden, known for its residential areas, natural surroundings, and commuter connections to central Stockholm.
-
C.
Trollbäcken
Trollbäcken is a residential suburban district in the Stockholm County area of Sweden, known for its proximity to lakes and green spaces.
-
D.
Tynningö
Tynningö is an island in Sweden’s Stockholm archipelago, known for its summer homes, natural scenery, and proximity to the town of Vaxholm.
-
E.
Tantolunden
Tantolunden is a large park and recreational area in Stockholm known for its allotment gardens, waterfront, and outdoor activities.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0240d6c0c8190bf970c7652fd9573 |
completed | March 22, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a5996a08190860cb5fab57c31b5 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:45 p.m.