Triple
T36693541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAAF Learmonth |
E906024
|
entity |
| Predicate | distanceFromExmouth |
P205011
|
FINISHED |
| Object | approximately 35 kilometres south |
—
|
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 35 kilometres south | Statement: [RAAF Learmonth, distanceFromExmouth, approximately 35 kilometres south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromExmouth Context triple: [RAAF Learmonth, distanceFromExmouth, approximately 35 kilometres south]
-
A.
distanceFromBroome
Indicates the spatial distance between a given entity or location and Broome.
-
B.
distanceFromKarratha
Indicates the measured spatial distance between a given entity or location and Karratha.
-
C.
distanceFromMargaretRiverTown
Indicates the spatial distance between a given location and the town of Margaret River.
-
D.
distanceFromPinnaroo
Indicates the spatial distance between a given location and the place named Pinnaroo.
-
E.
distanceFromPortHedland
Indicates the measured distance between a given location and Port Hedland.
- 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_69f76e70d2448190bdd3ce781ba971c5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:12 p.m.