Triple
T1520687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seanad Éireann |
E32218
|
entity |
| Predicate | hasNumberOfVocationalPanels |
P30093
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Seanad Éireann, hasNumberOfVocationalPanels, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfVocationalPanels Context triple: [Seanad Éireann, hasNumberOfVocationalPanels, 5]
-
A.
hasNumberOfLessons
Indicates the specific count of lessons associated with an entity.
-
B.
languagePanelCount
Indicates the number of language panels associated with or present in a given context or entity.
-
C.
vocationType
Indicates the specific kind or category of occupation, profession, or calling associated with an entity.
-
D.
mayAlsoBeAccreditedTo
Indicates that the credit or attribution for something can additionally be assigned to another entity beyond the primary one.
-
E.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93d4756888190bf3872154de11539 |
completed | March 5, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69a907ac7ea081908dd95bb5cc3b9847 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a93d462f208190b27ef5cd631bce12 |
completed | March 5, 2026, 8:22 a.m. |
Created at: March 4, 2026, 7:26 p.m.