Triple
T24334976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Prince of Wales |
E613352
|
entity |
| Predicate | distanceToCapeDezhnev |
P155752
|
FINISHED |
| Object | approximately 89 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 89 km | Statement: [Cape Prince of Wales, distanceToCapeDezhnev, approximately 89 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCapeDezhnev Context triple: [Cape Prince of Wales, distanceToCapeDezhnev, approximately 89 km]
-
A.
distanceFromNorthCape
Indicates the measured distance of an entity from the geographic location known as the North Cape.
-
B.
distanceFromMcMurdoStation
Indicates the measured spatial distance between a given location or object and McMurdo Station.
-
C.
distanceFromSouthPole
Indicates the measured distance of an entity from the geographic South Pole.
-
D.
distanceToPetropavlovskKamchatsky
Indicates the spatial distance between an entity and the location of Petropavlovsk-Kamchatsky.
-
E.
distanceTo_Vostok 5_minimum
Indicates that the minimum distance between an entity and Vostok 5 is being specified or constrained.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292f444b08190b9c8e033ff6ee5fc |
completed | April 29, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28b7ff1808190870dfe9af789a1eb |
completed | April 29, 2026, 10:51 p.m. |
Created at: April 18, 2026, 1:56 a.m.