Triple
T15363595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knivskjellodden |
E367350
|
entity |
| Predicate | distanceFromNorthCape |
P118287
|
FINISHED |
| Object | about 4 kilometers west of North Cape |
—
|
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 4 kilometers west of North Cape | Statement: [Knivskjellodden, distanceFromNorthCape, about 4 kilometers west of North Cape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromNorthCape Context triple: [Knivskjellodden, distanceFromNorthCape, about 4 kilometers west of North Cape]
-
A.
distanceFromSouthPole
Indicates the measured distance of an entity from the geographic South Pole.
-
B.
distanceFromAntarcticMainland
Indicates the measured spatial separation between a location or object and the nearest point on the Antarctic mainland.
-
C.
distanceFromCapeTown
Indicates the measured distance between a given location and Cape Town.
-
D.
distanceToTristanDaCunha
Indicates the spatial distance between a given entity and Tristan da Cunha.
-
E.
distanceFromNorthPole
Indicates the measured spatial distance between a given entity’s location and the geographic North Pole.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e479f188190bbbc3dcd73853e02 |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca9ab7e88190a9261ef27be665b1 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:18 a.m.