Triple
T16924406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Children’s Library (Society of the Four Arts) |
E410527
|
entity |
| Predicate | supportsAgeGroup |
P73688
|
FINISHED |
| Object | early childhood |
—
|
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: early childhood | Statement: [Children’s Library (Society of the Four Arts), supportsAgeGroup, early childhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAgeGroup Context triple: [Children’s Library (Society of the Four Arts), supportsAgeGroup, early childhood]
-
A.
supportsAgeRange
chosen
Indicates that one entity is compatible with, valid for, or designed to accommodate a specified range of ages.
-
B.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
C.
supportsAgeDiscounts
Indicates that the subject entity offers or honors special pricing or discounts based on a person's age.
-
D.
canAgeFor
Indicates that one entity is capable of undergoing an aging or maturation process for the benefit, use, or context of another entity.
-
E.
hasAge
Indicates that an entity possesses a specific age value, typically expressed as a number of time units since its birth or creation.
- 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_69e3cdf1347c819085cf754a0c3e19ed |
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.