Triple
T26361138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watsonia railway station |
E660206
|
entity |
| Predicate | lineDirectionFromCity |
P107515
|
FINISHED |
| Object | northeast |
—
|
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: northeast | Statement: [Watsonia railway station, lineDirectionFromCity, northeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineDirectionFromCity Context triple: [Watsonia railway station, lineDirectionFromCity, northeast]
-
A.
hasStreetDirection
Indicates that a street or road segment is associated with a specific directional orientation (e.g., northbound, east-west).
-
B.
lineDirectionTo
chosen
Indicates the directional relationship from one line to another, such as whether they point in the same, opposite, or a specific relative direction.
-
C.
streetOrientedAlong
Indicates that a street is aligned or runs in the same general direction as a specified reference feature or axis.
-
D.
geographicDirectionWithinCountry
Indicates that one place lies in a specified cardinal or intercardinal direction relative to another place within the same country.
-
E.
locationDirection
Indicates that one entity is located in a specific directional relation (such as north, south, above, or below) relative to another entity.
- 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60ff3b22c819094c33eba7b27f348 |
completed | May 2, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:51 p.m.