Triple
T37263301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanutarra |
E924310
|
entity |
| Predicate | nearestTouristArea |
P174400
|
FINISHED |
| Object | Ningaloo Coast |
—
|
NE NERFINISHED |
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: Ningaloo Coast | Statement: [Nanutarra, nearestTouristArea, Ningaloo Coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestTouristArea Context triple: [Nanutarra, nearestTouristArea, Ningaloo Coast]
-
A.
nearestTouristDestination
chosen
Indicates that one location is the closest tourist destination to another specified location.
-
B.
nearestMajorRecreationArea
Indicates that one entity is the closest significant recreational area (such as a park, lake, or facility) to another entity in terms of distance.
-
C.
nearbyUrbanCenter
Indicates that one location is geographically close to an urban center, such as a city or large town.
-
D.
nearbyHeritageDestinations
Indicates that one or more heritage destinations are located close to a given reference point or entity in geographic space.
-
E.
typicalNearbyLandmarks
Indicates that certain landmarks are commonly found in the vicinity of a given place or location.
- 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_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:15 p.m.