Triple
T38317516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Sorell |
E1033865
|
entity |
| Predicate | distanceToDevonport_km |
P204601
|
FINISHED |
| Object | approximately 20 |
—
|
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 | Statement: [Port Sorell, distanceToDevonport_km, approximately 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToDevonport_km Context triple: [Port Sorell, distanceToDevonport_km, approximately 20]
-
A.
distanceToWarrnambool_km
Indicates the measured distance, in kilometers, from a given entity or location to Warrnambool.
-
B.
distanceToNelsonBay_km
Indicates the physical distance, measured in kilometers, between a given location and Nelson Bay.
-
C.
distanceFromPortElizabeth_km
Indicates the distance, measured in kilometers, between a given location and Port Elizabeth.
-
D.
distanceFromLiskeard
Indicates the measured distance between a given location and the town of Liskeard.
-
E.
distanceToTristanDaCunha
Indicates the spatial distance between a given entity and Tristan da Cunha.
- 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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:30 p.m.