Triple
T36304089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Translations (stage play) |
E893897
|
entity |
| Predicate | hasBeenWidelyStudiedIn |
P46827
|
FINISHED |
| Object | Irish studies |
—
|
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: Irish studies | Statement: [Translations (stage play), hasBeenWidelyStudiedIn, Irish studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeenWidelyStudiedIn Context triple: [Translations (stage play), hasBeenWidelyStudiedIn, Irish studies]
-
A.
isWidelyStudied
Indicates that the subject has been extensively examined, researched, or analyzed by many people or studies over a significant period.
-
B.
hasBeenStudiedFor
Indicates that an entity has been the subject of research, examination, or analysis for a specified purpose, topic, or application.
-
C.
hasBeenStudiedSince
Indicates that an entity has been the subject of study or research starting from a specified point in time and continuing thereafter.
-
D.
widelyStudiedIn
chosen
Indicates that something has been extensively researched, analyzed, or examined within a particular field, domain, or context.
-
E.
isStudiedUsing
Indicates that something serves as the method, tool, or approach by which something else is examined, analyzed, or researched.
- 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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: May 3, 2026, 4:09 p.m.