Triple
T36009062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonga Beach |
E1041351
|
entity |
| Predicate | distanceToMossman |
P108664
|
FINISHED |
| Object | approximately 20 km north |
—
|
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 20 km north | Statement: [Wonga Beach, distanceToMossman, approximately 20 km north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMossman Context triple: [Wonga Beach, distanceToMossman, approximately 20 km north]
-
A.
distanceFromMossman
chosen
Indicates the measured or specified distance between a given entity or location and Mossman.
-
B.
distanceFromMossVale
Indicates the spatial distance between an entity and the reference location Moss Vale.
-
C.
distanceFromMina
Indicates the spatial distance measured between Mina and another specified entity or location.
-
D.
distanceToMonumentValley
Indicates the spatial distance between a given entity and Monument Valley.
-
E.
distanceToMonumentRocks
Indicates the spatial distance between a subject and the location known as Monument Rocks.
- 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.