Triple
T17895114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russian broad-gauge network |
E447412
|
entity |
| Predicate | hasBreakOfGaugeWith |
P129214
|
FINISHED |
| Object | standard-gauge European railway network |
—
|
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: standard-gauge European railway network | Statement: [Russian broad-gauge network, hasBreakOfGaugeWith, standard-gauge European railway network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBreakOfGaugeWith Context triple: [Russian broad-gauge network, hasBreakOfGaugeWith, standard-gauge European railway network]
-
A.
formerBreakOfGaugePointFor
Indicates that one location or point previously served as a break-of-gauge point (where railway track gauges changed) for another location or segment, but no longer does so.
-
B.
isBrokenBy
Indicates that one entity causes another entity to become damaged, nonfunctional, or destroyed.
-
C.
breaksDownWhen
Indicates that one entity becomes nonfunctional, damaged, or fails when subjected to the presence, action, or conditions imposed by another entity.
-
D.
hasMaximumBreaks
Indicates that there is an upper limit on the number of breaks allowed or assigned in a given context.
-
E.
hasBraking
Indicates that an entity possesses or is equipped with a braking capability or braking system.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7eb4f48190951e26975b57873b |
completed | April 19, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:19 a.m.