Triple
T17058778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seaside Lagoon |
E413897
|
entity |
| Predicate | isTypicallyOpen |
P84418
|
FINISHED |
| Object | Memorial Day to Labor Day |
—
|
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: Memorial Day to Labor Day | Statement: [Seaside Lagoon, isTypicallyOpen, Memorial Day to Labor Day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTypicallyOpen Context triple: [Seaside Lagoon, isTypicallyOpen, Memorial Day to Labor Day]
-
A.
openingTime
Indicates the time at which a place, service, or event begins operating or becomes accessible.
-
B.
openingHoursCharacteristic
Indicates a relationship that specifies particular attributes or features of an entity’s opening hours, such as patterns, exceptions, or special conditions.
-
C.
seasonOpeningOrClosing
Indicates that an event marks either the beginning or the end of a particular season.
-
D.
openToPublicDuring
chosen
Indicates that something is accessible or available for use by the general public during a specified time period or schedule.
-
E.
isOpenTo
Indicates that one entity is receptive, willing, or available to consider, accept, or engage with another entity or proposal.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7c21a881909bfb67080706612f |
completed | April 18, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.