Triple
T15814090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Beach |
E383429
|
entity |
| Predicate | typicalActivityLevel |
P120176
|
FINISHED |
| Object | crowded on weekends |
—
|
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: crowded on weekends | Statement: [Big Beach, typicalActivityLevel, crowded on weekends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalActivityLevel Context triple: [Big Beach, typicalActivityLevel, crowded on weekends]
-
A.
humanActivityLevel
Indicates the degree or intensity of activity or movement performed by a human over a given period or in a given context.
-
B.
currentActivityLevel
Indicates the present intensity or degree of activity that an entity is engaged in at a given moment.
-
C.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
D.
primaryLevelOfActivity
Indicates the main or most significant level at which an entity engages in a particular activity or operation.
-
E.
nightActivityLevel
Indicates the intensity or extent of an entity’s actions or behavior occurring during nighttime hours.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a1571881909488728f123865ad |
completed | April 16, 2026, 11:14 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69e00e48d49c819081afccb02f9cf18b |
completed | April 15, 2026, 10:16 p.m. |
Created at: April 10, 2026, 4:49 a.m.