Triple
T21315671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balakliia |
E525463
|
entity |
| Predicate | distanceFromKharkiv |
P135418
|
FINISHED |
| Object | about 90 kilometers southeast |
—
|
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 90 kilometers southeast | Statement: [Balakliia, distanceFromKharkiv, about 90 kilometers southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromKharkiv Context triple: [Balakliia, distanceFromKharkiv, about 90 kilometers southeast]
-
A.
distanceToKharkiv
chosen
Indicates the spatial distance between a given entity’s location and the city of Kharkiv.
-
B.
distanceFromKyiv
Indicates the spatial distance between a given entity’s location and the city of Kyiv.
-
C.
distanceToIvanoFrankivsk
Indicates the spatial distance between a given entity and the location of Ivano-Frankivsk.
-
D.
distanceToUkraineBorder
Indicates the measured distance between a given location or entity and the border of Ukraine.
-
E.
distanceToDonetsk
Indicates the spatial distance between a given entity and the location of Donetsk.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dcf2534819097abbb2e9559e791 |
completed | April 21, 2026, 11:21 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:28 p.m.