Triple
T16926948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music Midtown |
E410597
|
entity |
| Predicate | hasAgePolicy |
P39362
|
FINISHED |
| Object | all ages with some restricted areas |
—
|
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: all ages with some restricted areas | Statement: [Music Midtown, hasAgePolicy, all ages with some restricted areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAgePolicy Context triple: [Music Midtown, hasAgePolicy, all ages with some restricted areas]
-
A.
agePolicy
chosen
Indicates a rule or restriction that specifies how something should be treated or allowed based on the ages of the entities involved.
-
B.
hasAge
Indicates that an entity possesses a specific age value, typically expressed as a number of time units since its birth or creation.
-
C.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
D.
hasPolicyStatus
Indicates that an entity is associated with a policy and specifies the current status or state of that policy.
-
E.
hasAgeClaim
Indicates that an entity is associated with a stated or asserted age value, rather than necessarily its verified actual age.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdf2dcd881909798bd245e18c599 |
completed | April 18, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.