Triple
T14020410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lara, Victoria |
E337314
|
entity |
| Predicate | distanceToGeelong |
P46321
|
FINISHED |
| Object | approximately 18 km northeast |
—
|
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 18 km northeast | Statement: [Lara, Victoria, distanceToGeelong, approximately 18 km northeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToGeelong Context triple: [Lara, Victoria, distanceToGeelong, approximately 18 km northeast]
-
A.
distanceFromGeelong
chosen
Indicates the spatial distance between a given entity or location and Geelong.
-
B.
distanceToMelbourne
Indicates the spatial distance between a given location or entity and the city of Melbourne.
-
C.
distanceToMildura_km
Indicates the physical distance, measured in kilometers, between a given location and Mildura.
-
D.
distanceFromKalgoorlie
Indicates the measured distance between a given location and Kalgoorlie.
-
E.
distanceToGoldCoast
Indicates the measured distance between a given entity and the location known as the Gold Coast.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3c7cd88190b236382058581740 |
completed | April 14, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:19 p.m.