Triple
T5104599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queens Quay stop |
E115059
|
entity |
| Predicate | transportSubMode |
P28705
|
FINISHED |
| Object | tram |
—
|
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: tram | Statement: [Queens Quay stop, transportSubMode, tram]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportSubMode Context triple: [Queens Quay stop, transportSubMode, tram]
-
A.
transportType
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
B.
transportAssumption
Indicates an assumption that something can be transported or carried from one place or context to another.
-
C.
transportModeIntegration
Indicates that different modes of transportation are coordinated or combined to enable seamless or efficient movement within a journey or transport system.
-
D.
transportationFunction
Indicates that one entity serves to move or carry another entity from one place to another.
-
E.
publicTransitMode
chosen
Indicates the type of public transportation (e.g., bus, train, subway) used or associated with a given trip or segment.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7589e40c8190a46e4a1b7142be14 |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:41 p.m.