Triple
T11986975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Metro |
E285303
|
entity |
| Predicate | initialLineLength |
P39661
|
FINISHED |
| Object | 36 km |
—
|
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: 36 km | Statement: [Sydney Metro, initialLineLength, 36 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialLineLength Context triple: [Sydney Metro, initialLineLength, 36 km]
-
A.
hasLineLength
chosen
Indicates that one entity has, is characterized by, or is associated with a specific line length value.
-
B.
originalLineSpeed
Indicates the speed at which something initially moves or operates before any changes or adjustments are made.
-
C.
isShortLine
Indicates that a line is relatively short in length compared to a standard or other lines.
-
D.
finalLineMeter
Indicates that the metrical pattern or structure of the final line of a text, verse, or utterance is being specified or characterized.
-
E.
typicalNumberOfSeedLines
Indicates the usual or standard count of seed lines associated with an entity or process.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ae28708190a826bad1624343eb |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.