Triple
T3042411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Silver Beach |
E83159
|
entity |
| Predicate | hasUserGuideline |
P6753
|
FINISHED |
| Object | no lifeguards off-season |
—
|
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: no lifeguards off-season | Statement: [Old Silver Beach, hasUserGuideline, no lifeguards off-season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUserGuideline Context triple: [Old Silver Beach, hasUserGuideline, no lifeguards off-season]
-
A.
hasGuidelineCount
Indicates the number of guidelines associated with or applicable to a given entity.
-
B.
hasStyleGuide
Indicates that one entity is associated with or governed by a particular style guide that defines its formatting or presentation conventions.
-
C.
providesGuidanceTo
Indicates that one entity offers direction, advice, or instruction to another entity.
-
D.
guidanceType
chosen
Indicates the specific kind or category of guidance being provided or referenced in the relationship between entities.
-
E.
hasUser
Indicates that an entity is associated with or linked to a specific user.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b5d2a308190b4ce20efcae9b761 |
completed | March 8, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69ad961fc62c819087c4c3a44b00847d |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.