Triple
T33882165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sutro Baths trail |
E868519
|
entity |
| Predicate | oftenExperiences |
P124802
|
FINISHED |
| Object | foggy conditions |
—
|
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: foggy conditions | Statement: [Sutro Baths trail, oftenExperiences, foggy conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenExperiences Context triple: [Sutro Baths trail, oftenExperiences, foggy conditions]
-
A.
experiences
Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
-
B.
oftenHave
chosen
Indicates that one entity frequently possesses, experiences, or is associated with another entity.
-
C.
mayExperience
Indicates that an entity is capable of undergoing, feeling, or being subject to a particular event, state, or condition.
-
D.
oftenFrom
Indicates that something frequently originates, derives, or comes from a particular source or location.
-
E.
oftenSays
Indicates that one entity frequently makes a particular statement or remark, or regularly expresses a certain idea or phrase.
- 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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 1, 2026, 1:48 a.m.