Triple
T4465600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyiv Metro |
E98369
|
entity |
| Predicate | systemLengthKilometers |
P33049
|
FINISHED |
| Object | ~67 |
—
|
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: ~67 | Statement: [Kyiv Metro, systemLengthKilometers, ~67]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: systemLengthKilometers Context triple: [Kyiv Metro, systemLengthKilometers, ~67]
-
A.
lengthInKm
chosen
Indicates that one entity specifies the length or distance of another entity measured in kilometers.
-
B.
widthKilometres
Indicates the measurement of how wide something is, expressed in kilometres.
-
C.
range_km
Indicates the maximum distance, measured in kilometers, over which something can operate, travel, or be effective.
-
D.
navigableLengthApproxKm
Indicates the approximate distance, measured in kilometers, over which something (typically a waterway) can be navigated.
-
E.
hasMainStraightLengthKm
Indicates the length in kilometers of the primary or main straight segment associated with an entity.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356991a588190be2f95fd957d7f99 |
completed | March 13, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69b34f65f6448190abfadb2ae5658798 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:34 p.m.