Triple
T19816569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fjäderholmarna |
E476071
|
entity |
| Predicate | travelTimeFromStockholmByBoat |
P70601
|
FINISHED |
| Object | about 20 minutes |
—
|
LITERAL 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: about 20 minutes | Statement: [Fjäderholmarna, travelTimeFromStockholmByBoat, about 20 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelTimeFromStockholmByBoat Context triple: [Fjäderholmarna, travelTimeFromStockholmByBoat, about 20 minutes]
-
A.
travelTimeByFerry
chosen
Indicates the duration required to travel between two locations specifically using a ferry as the mode of transportation.
-
B.
distanceFromStockholmCityCentre
Indicates the measured distance between a given location and the center of Stockholm city.
-
C.
distanceToStockholmArlandaAirport
Indicates the measured distance between a given location or entity and Stockholm Arlanda Airport.
-
D.
nearCityOnSwedishSide
Indicates that one entity is located close to a specified city that lies on the Swedish side of a border or boundary.
-
E.
roadDistanceToGothenburg_km
Indicates the road travel distance, measured in kilometers, from a given location to Gothenburg.
- F. None of above.
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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654f9c5b08190987237f5144c3b37 |
completed | April 20, 2026, 4:31 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.