Triple
T6863433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melbourne suburban rail network |
E158337
|
entity |
| Predicate | numberOfElectrifiedLines |
P74178
|
FINISHED |
| Object | more than 15 |
—
|
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: more than 15 | Statement: [Melbourne suburban rail network, numberOfElectrifiedLines, more than 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfElectrifiedLines Context triple: [Melbourne suburban rail network, numberOfElectrifiedLines, more than 15]
-
A.
electrificationTerminusOf
Indicates that a location or point serves as the end of an electrified section of a route, line, or network.
-
B.
isElectricRailway
Indicates that a given railway system operates using electric power rather than diesel or other forms of propulsion.
-
C.
numberOfRailLines
Indicates the total count of rail lines associated with or serving a given entity.
-
D.
isElectrifiedSectionOf
Indicates that one section or segment is a part of a larger entity and has been equipped with electrical power or electrification.
-
E.
hasElectrificationStatus
Indicates that an entity possesses a specified type or level of electrification (e.g., electrified, non-electrified, partially electrified).
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6da3b5510819093c5893ea92ac025 |
completed | March 27, 2026, 7:27 p.m. |
Created at: March 27, 2026, 2:21 p.m.