Triple
T25325888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shute Harbour |
E635012
|
entity |
| Predicate | distanceToAirlieBeach_km |
P76491
|
FINISHED |
| Object | approximately 10 |
—
|
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 10 | Statement: [Shute Harbour, distanceToAirlieBeach_km, approximately 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAirlieBeach_km Context triple: [Shute Harbour, distanceToAirlieBeach_km, approximately 10]
-
A.
distanceToAirlieBeach
chosen
Indicates the spatial distance between a given location and Airlie Beach.
-
B.
distanceToHerveyBay_km
Indicates the distance, measured in kilometers, between a given location and Hervey Bay.
-
C.
distanceToForster_km
Indicates the physical distance, measured in kilometers, between an entity and a reference location named Forster.
-
D.
distanceFromDarwin
Indicates the spatial distance between an entity and the location Darwin.
-
E.
distanceFromCairns
Indicates the spatial distance between a given location or entity and the city of Cairns.
- 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_69e75a9908108190a95427a97020632a |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 21, 2026, 1:30 p.m.