Triple
T12411661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightcliff Pool |
E296529
|
entity |
| Predicate | hasRiskLevelComparedToNearbySea |
P104982
|
FINISHED |
| Object | lower |
—
|
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: lower | Statement: [Nightcliff Pool, hasRiskLevelComparedToNearbySea, lower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiskLevelComparedToNearbySea Context triple: [Nightcliff Pool, hasRiskLevelComparedToNearbySea, lower]
-
A.
hasCoastalRisk
Indicates that an entity is exposed to potential hazards or adverse impacts associated with coastal environments, such as flooding, erosion, or storm surge.
-
B.
nearestSea
Indicates that one location is the closest sea to a given place compared to all other seas.
-
C.
isShallowSea
Indicates that a body of water is a shallow marine area, typically near coasts or continental shelves, rather than deep ocean.
-
D.
hasNearbyCoast
Indicates that one location is situated close to a coastline or seashore.
-
E.
hasDestinationSea
Indicates that something is directed or travels toward a sea as its endpoint or target location.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94e15f21c8190831c9562ffdd4fda |
completed | April 10, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:55 p.m.