Triple
T24932142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Brighton railway station |
E623215
|
entity |
| Predicate | suburbType |
P143331
|
FINISHED |
| Object | bayside suburb |
—
|
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: bayside suburb | Statement: [Middle Brighton railway station, suburbType, bayside suburb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suburbType Context triple: [Middle Brighton railway station, suburbType, bayside suburb]
-
A.
suburb
Indicates that one place is a residential district or outlying area that is part of or adjacent to a larger city or town.
-
B.
locatedInSuburbType
chosen
Indicates that one entity is situated within, or belongs to, a specific type or category of suburb associated with the other entity.
-
C.
isResidentialSuburbOf
Indicates that one area is a residential suburb that is part of or lies within the urban region of another area.
-
D.
isCommercialSuburbOf
Indicates that one area functions primarily as a business or commercial district that is part of, or subordinate to, a larger urban area or city.
-
E.
subdivisionType0
Indicates that the referenced entity is classified as the primary (level 0) type of administrative or territorial subdivision within a larger jurisdiction.
- 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_69e2fac6b5a48190a1c38857f00915a9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:30 a.m.