Triple
T21651270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point Puer |
E534342
|
entity |
| Predicate | distanceToPortArthur |
P144865
|
FINISHED |
| Object | approximately 3 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 3 kilometres | Statement: [Point Puer, distanceToPortArthur, approximately 3 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToPortArthur Context triple: [Point Puer, distanceToPortArthur, approximately 3 kilometres]
-
A.
distanceToPortree
Indicates the spatial distance between a given entity’s location and the location of Portree.
-
B.
distanceToGalveston
Indicates the measured distance between a given location or entity and Galveston.
-
C.
distanceToGreatSandyStrait
Indicates the measured distance between an entity’s location and the Great Sandy Strait.
-
D.
distanceFromPortAngeles
Indicates the measured distance between a given location and the city of Port Angeles.
-
E.
distanceToAyr
Indicates the measured distance between a given entity or location and Ayr.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5914a3f88190b797188eba34edd8 |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:36 p.m.