Triple
T38337360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tooraweenah |
E1037994
|
entity |
| Predicate | distanceToCoonabarabran_km |
P116414
|
FINISHED |
| Object | approximately 80 |
—
|
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 80 | Statement: [Tooraweenah, distanceToCoonabarabran_km, approximately 80]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCoonabarabran_km Context triple: [Tooraweenah, distanceToCoonabarabran_km, approximately 80]
-
A.
distanceToCoonabarabran
chosen
Indicates the spatial distance between a given entity or location and the town of Coonabarabran.
-
B.
distanceFromCoonoor
Indicates the measured distance between a given location and the place named Coonoor.
-
C.
distanceToKununurra_km
Indicates the distance, measured in kilometers, from a given location to Kununurra.
-
D.
distanceFromDarwin
Indicates the spatial distance between an entity and the location Darwin.
-
E.
distanceToKarratha_km
Indicates the distance, measured in kilometers, from a given location to Karratha.
- 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_69f76e20d65c81909619ac0dd85c56f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.