Triple
T10379758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vostok 6 |
E244605
|
entity |
| Predicate | distanceTo_Vostok 5_minimum |
P93681
|
FINISHED |
| Object | about 5 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: about 5 km | Statement: [Vostok 6, distanceTo_Vostok 5_minimum, about 5 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceTo_Vostok 5_minimum Context triple: [Vostok 6, distanceTo_Vostok 5_minimum, about 5 km]
-
A.
distanceToPetropavlovskKamchatsky
Indicates the spatial distance between an entity and the location of Petropavlovsk-Kamchatsky.
-
B.
distanceFromSouthPole
Indicates the measured distance of an entity from the geographic South Pole.
-
C.
distanceFromAntarcticMainland
Indicates the measured spatial separation between a location or object and the nearest point on the Antarctic mainland.
-
D.
distanceToArkhangelskApproxKm
Indicates the approximate distance, measured in kilometers, between a given entity’s location and Arkhangelsk.
-
E.
distanceFromMoscow_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and Moscow.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e991056c8190a981f717c51f1f72 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:03 p.m.