Triple
T9618537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surry Hills |
E232280
|
entity |
| Predicate | closenessToCBD |
P44123
|
FINISHED |
| Object | immediately southeast of Sydney CBD |
—
|
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: immediately southeast of Sydney CBD | Statement: [Surry Hills, closenessToCBD, immediately southeast of Sydney CBD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closenessToCBD Context triple: [Surry Hills, closenessToCBD, immediately southeast of Sydney CBD]
-
A.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
-
B.
hasUrbanProximity
chosen
Indicates that one entity is located near or within easy access to an urban area associated with another entity.
-
C.
proximityToLandmark
Indicates a spatial relationship where one entity is located near or close to a specified landmark.
-
D.
closerTo
Indicates that one entity is at a smaller distance to a reference entity than another entity is.
-
E.
nearbyUrbanCenter
Indicates that one location is geographically close to an urban center, such as a city or large town.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ab0a15481908945b50c622b71b9 |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:09 p.m.