Triple
T32857754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kidcity Children’s Museum |
E840423
|
entity |
| Predicate | indoorShoesPolicy |
P88732
|
FINISHED |
| Object | socks-only play 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: socks-only play areas | Statement: [Kidcity Children’s Museum, indoorShoesPolicy, socks-only play areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indoorShoesPolicy Context triple: [Kidcity Children’s Museum, indoorShoesPolicy, socks-only play areas]
-
A.
requiresShoesOff
chosen
Indicates that one entity mandates another to remove their shoes, typically as a condition for entry or participation.
-
B.
hasInsoleType
Indicates that an item, typically footwear, possesses a specific type or category of insole.
-
C.
hasIndoorType
Indicates that an entity is associated with a specific type or category of indoor environment or indoor feature.
-
D.
wearRegulation
Indicates that an entity is subject to and follows specific rules or standards governing what it wears.
-
E.
isIndoorMall
Indicates that a shopping mall is located indoors, typically enclosed within a single building or connected interior space.
- 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_69f34942465c819099b3fb47f9044f58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ceb2b81c81909c1a186305a9d597 |
completed | May 3, 2026, 4:27 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:17 a.m.