Triple
T25208666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dover Heights |
E631622
|
entity |
| Predicate | distanceFromBondiBeach |
P178249
|
FINISHED |
| Object | nearby to the north-east |
—
|
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 north-east | Statement: [Dover Heights, distanceFromBondiBeach, nearby to the north-east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBondiBeach Context triple: [Dover Heights, distanceFromBondiBeach, nearby to the north-east]
-
A.
distanceFromSydney
Indicates the spatial distance between a given location and the city of Sydney.
-
B.
distanceFromBrisbane
Indicates the measured distance between a given location or entity and the city of Brisbane.
-
C.
distanceFromGosford_km
Indicates the physical distance, measured in kilometers, between an entity’s location and Gosford.
-
D.
distanceToGoldCoast
Indicates the measured distance between a given entity and the location known as the Gold Coast.
-
E.
distanceFromMurwillumbah
Indicates the spatial distance separating an entity from the location of Murwillumbah.
- 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_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70e854b9c8190a3416e2189e17742 |
completed | May 3, 2026, 8:59 a.m. |
Created at: April 21, 2026, 12:57 p.m.