Triple
T24905823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monkey Mia |
E623703
|
entity |
| Predicate | distanceFromDenham |
P164155
|
FINISHED |
| Object | approximately 25 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 25 kilometres | Statement: [Monkey Mia, distanceFromDenham, approximately 25 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromDenham Context triple: [Monkey Mia, distanceFromDenham, approximately 25 kilometres]
-
A.
distanceToHorsham
Indicates the spatial distance between a given entity or location and the town of Horsham.
-
B.
distanceFromMoree
Indicates the spatial distance measured from the reference location Moree to another place or entity.
-
C.
distanceToHemelHempstead
Indicates the spatial distance between a given entity and the location of Hemel Hempstead.
-
D.
distanceFromDentVillage
Indicates the spatial distance measured from Dent Village to another specified location or entity.
-
E.
distanceFromFraser
Indicates the spatial distance between an entity and the Fraser (e.g., the Fraser River or a Fraser-designated reference point).
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f643c204508190a43fe0ec5165b01c |
completed | May 2, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 18, 2026, 5:27 a.m.