Triple
T37261944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiluna |
E924278
|
entity |
| Predicate | distanceFromPerth_km |
P5889
|
FINISHED |
| Object | approximately 950 |
—
|
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 950 | Statement: [Wiluna, distanceFromPerth_km, approximately 950]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPerth_km Context triple: [Wiluna, distanceFromPerth_km, approximately 950]
-
A.
distanceToPerth
chosen
Indicates the measured distance between a given entity’s location and the city of Perth.
-
B.
distanceToAdelaide_km
Indicates the physical distance, measured in kilometers, between a given location and Adelaide.
-
C.
distanceToWarrnambool_km
Indicates the measured distance, in kilometers, from a given entity or location to Warrnambool.
-
D.
distanceFromWaggaWagga_km
Indicates the numerical distance, measured in kilometers, between an entity’s location and Wagga Wagga.
-
E.
distanceFromFremantle
Indicates the measured distance between a given entity and the location of Fremantle.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.