Triple
T2938155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren Bruce Road tram stop |
E79317
|
entity |
| Predicate | hasNeighbouringStation |
P41425
|
FINISHED |
| Object | Village tram stop |
—
|
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: Village tram stop | Statement: [Warren Bruce Road tram stop, hasNeighbouringStation, Village tram stop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeighbouringStation Context triple: [Warren Bruce Road tram stop, hasNeighbouringStation, Village tram stop]
-
A.
hasAdjacentStationOnLine1
Indicates that one station is directly next to another station along Line 1 in the network.
-
B.
adjacentToStation
Indicates that one entity is located next to or immediately beside a station.
-
C.
hasAdjacentStationOnLine4
Indicates that one station is directly next to another station along transit line 4.
-
D.
hasAdjacentStationDirectionOutbound
Indicates that one station is directly next to another station in the outbound travel direction along a route.
-
E.
adjacentStationOnLine
chosen
Indicates that one station is directly next to another station along the same transit line, with no other station in between.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad986c1c0c8190a6a9f17082438cfd |
completed | March 8, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69ad96088fb481909976b436c2b729d9 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:56 p.m.