Triple
T1156173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yakutsk |
E23786
|
entity |
| Predicate | distanceFromMoscow |
P24098
|
FINISHED |
| Object | about 4900 km east |
—
|
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 4900 km east | Statement: [Yakutsk, distanceFromMoscow, about 4900 km east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMoscow Context triple: [Yakutsk, distanceFromMoscow, about 4900 km east]
-
A.
distanceFromMoscow_km
chosen
Indicates the physical distance, measured in kilometers, between a given entity’s location and Moscow.
-
B.
distanceToRussianBorder_km
Indicates the physical distance, measured in kilometers, between a given location and the nearest point on the Russian border.
-
C.
frontLineDistanceFromMoscow
Indicates the measured distance between the current front line of a conflict and the city of Moscow.
-
D.
distanceFromCapital
Indicates the measured distance between a given location and the capital city of its corresponding region or country.
-
E.
distanceToBudapest_km
Indicates the physical distance, measured in kilometers, between a given location and Budapest.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc912300819084c9c69783055a70 |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb50d19c81908a98dbbb04a8906f |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.