Triple
T5032611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Labor College |
E113341
|
entity |
| Predicate | hadOnlinePrograms |
P2505
|
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: [National Labor College, hadOnlinePrograms, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadOnlinePrograms Context triple: [National Labor College, hadOnlinePrograms, yes]
-
A.
hasOnlinePrograms
chosen
Indicates that an entity offers or provides programs, courses, or services that are available online.
-
B.
hasPublicProgram
Indicates that an entity offers or participates in a program or initiative that is accessible to the general public.
-
C.
hasProgramme
Indicates that an entity is associated with or offers a particular programme (such as a course of study, plan, or structured set of activities).
-
D.
hasNationalProgramming
Indicates that an entity provides or is associated with programming content that is broadcast or distributed at a national level.
-
E.
hasFamilyProgram
Indicates that an entity offers or is associated with a program specifically designed for families.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73b4d1708190aa1fa63104555f8a |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.