Triple
T28794946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dong Dang–Pingxiang rail link to China |
E727059
|
entity |
| Predicate | hasBreakOfGauge |
P129214
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Dong Dang–Pingxiang rail link to China, hasBreakOfGauge, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBreakOfGauge Context triple: [Dong Dang–Pingxiang rail link to China, hasBreakOfGauge, yes]
-
A.
hasBreakOfGaugeWith
chosen
Indicates that two connected railway lines or networks meet at a point where their track gauges differ, requiring a change of trains or transfer of cargo.
-
B.
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.
-
C.
previouslyHadGauge
Indicates that an entity had a particular gauge or measurement instrument at some time in the past, but does not necessarily have it now.
-
D.
breaksDownWhen
Indicates that one entity becomes nonfunctional, damaged, or fails when subjected to the presence, action, or conditions imposed by another entity.
-
E.
hasMaximumBreaks
Indicates that there is an upper limit on the number of breaks allowed or assigned in a given context.
- 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_69f0319b7c44819085736bcc256185e6 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 28, 2026, 6:25 a.m.