Triple
T13787727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WOFL |
E331307
|
entity |
| Predicate | offersChildrenProgramming |
P111466
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [WOFL, offersChildrenProgramming, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersChildrenProgramming Context triple: [WOFL, offersChildrenProgramming, yes]
-
A.
offersProgramsIn
Indicates that an institution or provider makes educational or training programs available in a particular field, subject, or area.
-
B.
offersCreativePrograms
Indicates that an entity provides or makes available programs or activities designed to foster creativity or artistic expression for another entity or audience.
-
C.
hasChildrenPrograms
Indicates that a program serves as a parent to one or more subordinate or derived programs.
-
D.
hasProgrammingFocus
Indicates that something is centered on, specialized in, or primarily concerned with programming.
-
E.
hasProgrammingTheme
Indicates that something involves, is centered around, or is characterized by programming-related concepts, activities, or content.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0249e4f88190a80316394940627d |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:11 p.m.