Triple
T27645019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Araluen |
E696687
|
entity |
| Predicate | distanceToNearbyTown |
P110200
|
FINISHED |
| Object | approximately 30 km south of Braidwood |
—
|
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 30 km south of Braidwood | Statement: [Araluen, distanceToNearbyTown, approximately 30 km south of Braidwood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNearbyTown Context triple: [Araluen, distanceToNearbyTown, approximately 30 km south of Braidwood]
-
A.
nearestTownDistance
chosen
Indicates the distance from a given location to the closest town.
-
B.
hasNearbyTown
Indicates that one location has a town situated close to it in geographic proximity.
-
C.
distanceFromNearestSettlementKilometers
Indicates the distance, measured in kilometers, from an entity’s location to the closest human settlement.
-
D.
nearestCityTo
Indicates that one city is the closest in distance to a given location or entity compared to all other cities.
-
E.
distanceFromRegionalCapital
Indicates the measured spatial distance between a given place and its corresponding regional capital.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ff80d9a1d88190a95b1488acd6e2e5 |
completed | May 9, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69ff802ae2dc819093a3cda42b63dcbd |
completed | May 9, 2026, 6:42 p.m. |
Created at: April 27, 2026, 2:28 p.m.