Triple
T29648968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tukums |
E756081
|
entity |
| Predicate | roadDistanceToRiga_km |
P66900
|
FINISHED |
| Object | approximately 65 |
—
|
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 65 | Statement: [Tukums, roadDistanceToRiga_km, approximately 65]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToRiga_km Context triple: [Tukums, roadDistanceToRiga_km, approximately 65]
-
A.
distanceFromRiga
chosen
Indicates the spatial distance between a given entity and the city of Riga.
-
B.
distanceFromTallinn
Indicates the measured distance between a given place or object and the city of Tallinn.
-
C.
distanceFromSaintPetersburg
Indicates the spatial distance between a given entity and the city of Saint Petersburg.
-
D.
distanceFromVilnius
Indicates the spatial distance between an entity and the city of Vilnius.
-
E.
distanceFromKaunas
Indicates the spatial distance between a given entity or location and the city of Kaunas.
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f66f21ff708190b13e801de63bf603 |
completed | May 2, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:51 p.m.