Triple
T31757742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westmead railway station |
E810596
|
entity |
| Predicate | hasFutureConnection |
P8776
|
FINISHED |
| Object | Parramatta Light Rail |
—
|
NE NERFINISHED |
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: Parramatta Light Rail | Statement: [Westmead railway station, hasFutureConnection, Parramatta Light Rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFutureConnection Context triple: [Westmead railway station, hasFutureConnection, Parramatta Light Rail]
-
A.
hasConnection
chosen
Indicates that there exists a link, association, or relationship between two entities.
-
B.
hasConnectionPotential
Indicates that there exists a possibility or capacity for a meaningful connection or relationship to form between the entities.
-
C.
hasFutureWorkAnnounced
Indicates that an entity has publicly communicated plans or intentions for future work, development, or activity.
-
D.
hasModeConnection
Indicates a relationship where one entity is linked to another through a specific mode, method, or type of connection.
-
E.
hasAccessibleConnection
Indicates that there exists a way for one entity to reach or interact with another in a manner that meets defined accessibility requirements.
- 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6bbbef7a88190b0affdec1d41c1e0 |
completed | May 3, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: April 30, 2026, 11:30 p.m.