Triple
T13195366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menindee |
E314096
|
entity |
| Predicate | nearbyNationalParkUse |
P92959
|
FINISHED |
| Object | nature-based tourism |
—
|
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: nature-based tourism | Statement: [Menindee, nearbyNationalParkUse, nature-based tourism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyNationalParkUse Context triple: [Menindee, nearbyNationalParkUse, nature-based tourism]
-
A.
hasNearbyStatePark
Indicates that a location is situated close to at least one designated state park.
-
B.
nearestNationalParkEntrance
Indicates the relationship where a given location is associated with the closest entrance point of a national park.
-
C.
locatedNearNationalPark
chosen
Indicates that one place or entity is situated in close proximity to a national park.
-
D.
hasNearbyProvincialPark
Indicates that one entity is located close to, or in the vicinity of, a provincial park.
-
E.
servesNationalPark
Indicates that an entity provides services or functions in support of a national park.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:16 p.m.