Triple
T2975053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaanapali Beach |
E80374
|
entity |
| Predicate | hasWaterCharacteristic |
P13022
|
FINISHED |
| Object | clear water |
—
|
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: clear water | Statement: [Kaanapali Beach, hasWaterCharacteristic, clear water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterCharacteristic Context triple: [Kaanapali Beach, hasWaterCharacteristic, clear water]
-
A.
hasWatershedCharacteristic
Indicates that a watershed possesses a specified characteristic, feature, or property.
-
B.
hasWaterColor
chosen
Indicates that an entity possesses or is characterized by a particular color of water.
-
C.
hasWatercourseType
Indicates the specific kind or category of watercourse (such as river, stream, or canal) associated with an entity.
-
D.
hasWaterActivity
Indicates that one entity possesses, exhibits, or is characterized by a particular level or type of water-related activity (such as moisture content, water availability, or water-based processes).
-
E.
hydrologicalCharacteristic
Indicates a relationship where a hydrological feature or condition (such as water flow, level, or behavior) characterizes or describes another entity.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99894bb0819099fa5cc5166c0eeb |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.