Triple
T7480672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Island (Queensland) |
E176747
|
entity |
| Predicate | distanceToAirlieBeach |
P76491
|
FINISHED |
| Object | approximately 9 kilometres |
—
|
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: approximately 9 kilometres | Statement: [Long Island (Queensland), distanceToAirlieBeach, approximately 9 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAirlieBeach Context triple: [Long Island (Queensland), distanceToAirlieBeach, approximately 9 kilometres]
-
A.
distanceFromCairns
Indicates the spatial distance between a given location or entity and the city of Cairns.
-
B.
distanceToBundaberg
Indicates the measured distance between a given location or entity and the city of Bundaberg.
-
C.
distanceToMaroochydore
Indicates the measured distance from a given entity or location to Maroochydore.
-
D.
distanceToGreatBarrierReef
Indicates the spatial distance between a given entity and the Great Barrier Reef.
-
E.
distanceToForster_km
Indicates the physical distance, measured in kilometers, between an entity and a reference location named Forster.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f532f4488190b6edaa96099c3b8f |
completed | March 27, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f105e320819091db3cdb1f1351f0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:42 p.m.