Triple
T25208667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dover Heights |
E631622
|
entity |
| Predicate | distanceFromRoseBay |
P178560
|
FINISHED |
| Object | nearby to the south-west |
—
|
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: nearby to the south-west | Statement: [Dover Heights, distanceFromRoseBay, nearby to the south-west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromRoseBay Context triple: [Dover Heights, distanceFromRoseBay, nearby to the south-west]
-
A.
distanceToNelsonBay_km
Indicates the physical distance, measured in kilometers, between a given location and Nelson Bay.
-
B.
distanceToWestBay
Indicates the spatial distance between a given entity and West Bay, measured along the ground or map coordinates.
-
C.
distanceToHerveyBay_km
Indicates the distance, measured in kilometers, between a given location and Hervey Bay.
-
D.
distanceToHerveyBayCBD_km
Indicates the distance, measured in kilometers, between a given location and the central business district (CBD) of Hervey Bay.
-
E.
distanceFromBondiBeach
Indicates the spatial distance between a given location and Bondi Beach.
- F. None of above. chosen
Provenance (4 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_69e75a8d1aa48190a4320acd3654762c |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f7117cf2188190b29e36fc1e342c60 |
completed | May 3, 2026, 9:12 a.m. |
Created at: April 21, 2026, 12:57 p.m.