Triple
T791612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maitland, New South Wales |
E16926
|
entity |
| Predicate | distanceFromNewcastle |
P19337
|
FINISHED |
| Object | about 35 km northwest of Newcastle |
—
|
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: about 35 km northwest of Newcastle | Statement: [Maitland, New South Wales, distanceFromNewcastle, about 35 km northwest of Newcastle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromNewcastle Context triple: [Maitland, New South Wales, distanceFromNewcastle, about 35 km northwest of Newcastle]
-
A.
distanceFromNorwich
Indicates the measured distance between a given place or object and the location of Norwich.
-
B.
distanceToManchester
Indicates the measured or calculated distance between a given entity’s location and the city of Manchester.
-
C.
distanceFromSydney
Indicates the spatial distance between a given location and the city of Sydney.
-
D.
distanceToLondon
Indicates the measured distance between a given entity’s location and the city of London.
-
E.
distanceFromBrisbane
Indicates the measured distance between a given location or entity and the city of Brisbane.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a798c7608190b9c79c52a1fe0859 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a50ef72c819084ffe9f31dbd0262 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a62b497081909503c8d30c7ce1db |
completed | March 1, 2026, 8:48 p.m. |
Created at: March 1, 2026, 7:38 p.m.