Triple
T26119235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killara |
E658910
|
entity |
| Predicate | distanceToWodongaCBD |
P194233
|
FINISHED |
| Object | approximately 8–12 km |
—
|
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 8–12 km | Statement: [Killara, distanceToWodongaCBD, approximately 8–12 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWodongaCBD Context triple: [Killara, distanceToWodongaCBD, approximately 8–12 km]
-
A.
distanceToWodonga
chosen
Indicates the spatial distance between a given entity and the location Wodonga.
-
B.
distanceToWollongongCBD
Indicates the physical distance between a given location and the central business district (CBD) of Wollongong.
-
C.
distanceFromWangaratta
Indicates the measured distance between a given location and the town of Wangaratta.
-
D.
directionToWodonga
Indicates the directional relationship pointing from a given location or entity toward Wodonga.
-
E.
distanceFromWaggaWagga_km
Indicates the numerical distance, measured in kilometers, between an entity’s location and Wagga Wagga.
- 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_69ee5bc20298819099a42be042eb2349 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: April 26, 2026, 8:07 p.m.