Triple
T19147554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wainui Beach |
E468718
|
entity |
| Predicate | surfReliability |
P134601
|
FINISHED |
| Object | consistent |
—
|
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: consistent | Statement: [Wainui Beach, surfReliability, consistent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfReliability Context triple: [Wainui Beach, surfReliability, consistent]
-
A.
surfReputation
Indicates the perceived quality or status of someone or something within a surfing-related context, such as skill, credibility, or recognition in the surf community.
-
B.
snowReliability
Indicates how consistently and dependably snow is present or available in a given context or location.
-
C.
surfSkillLevel
Indicates the degree of proficiency or competence an entity has in surfing.
-
D.
surfaceConditionCertainty
Indicates the degree of confidence or certainty about the described condition of a surface.
-
E.
seaReputation
Indicates the perceived status, trustworthiness, or renown of an entity specifically within maritime or sea-related contexts.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97a79a48190b243553023bf9081 |
completed | April 20, 2026, 8:53 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:06 p.m.