Triple
T36000784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jokkmokk |
E1041122
|
entity |
| Predicate | distanceFromLuleå |
P199208
|
FINISHED |
| Object | approximately 200 kilometres northwest |
—
|
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 200 kilometres northwest | Statement: [Jokkmokk, distanceFromLuleå, approximately 200 kilometres northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromLuleå Context triple: [Jokkmokk, distanceFromLuleå, approximately 200 kilometres northwest]
-
A.
distanceToLulea_km
chosen
Indicates the distance, measured in kilometers, from a given entity or location to Luleå.
-
B.
distanceToGällivare_km
Indicates the physical distance, measured in kilometers, from a given entity or location to Gällivare.
-
C.
distanceFromUppsala_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Uppsala.
-
D.
distanceFromNyköping
Indicates the spatial distance separating an entity from the location of Nyköping.
-
E.
distanceFromGävle
Indicates the spatial distance between a given entity and the location of Gävle.
- 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.