Triple
T38497195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skógafoss |
E919725
|
entity |
| Predicate | distanceFromVík |
P204690
|
FINISHED |
| Object | approximately 34 km |
—
|
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: approximately 34 km | Statement: [Skógafoss, distanceFromVík, approximately 34 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromVík Context triple: [Skógafoss, distanceFromVík, approximately 34 km]
-
A.
distanceFromReykjavík
Indicates the spatial distance between an entity’s location and the city of Reykjavík.
-
B.
distanceFromKeflavíkAirport
Indicates the measured distance between a given location and Keflavík Airport.
-
C.
distance to Tórshavn (kilometers)
Indicates the length, in kilometers, of the shortest travel distance between an entity and the location Tórshavn.
-
D.
directionFromReykjavík
Indicates the cardinal or relative compass direction in which one entity is located from Reykjavík.
-
E.
distanceToLerwickKilometers
Indicates the physical distance, measured in kilometers, between a given entity’s location and the town of Lerwick.
- F. None of above. chosen
Provenance (4 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_69f76e9ddd4481908f8c04439d848f9d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:31 p.m.