Triple
T24994815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yarra Trams |
E625539
|
entity |
| Predicate | networkScale |
P158702
|
FINISHED |
| Object | largest urban tram system in the world |
—
|
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: largest urban tram system in the world | Statement: [Yarra Trams, networkScale, largest urban tram system in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkScale Context triple: [Yarra Trams, networkScale, largest urban tram system in the world]
-
A.
networkLevel
Indicates the hierarchical position or tier an entity occupies within a network structure.
-
B.
networkBand
Indicates the specific frequency band or range within a network over which communication or data transmission occurs.
-
C.
networkGauge
Indicates a measurement or assessment of the state, performance, or capacity of a network.
-
D.
network
Indicates that one entity is connected to or interacts with another through a system of relationships, communication, or information exchange.
-
E.
networkLengthContext
Indicates the contextual conditions or parameters under which a network’s length is defined, measured, or interpreted.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f47b7f657c81908174590c811a3cbf |
completed | May 1, 2026, 10:07 a.m. |
Created at: April 18, 2026, 6:04 a.m.