Triple
T1023334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indo-European studies |
E22085
|
entity |
| Predicate | subdisciplineOf |
P5484
|
FINISHED |
| Object | linguistics |
—
|
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: linguistics | Statement: [Indo-European studies, subdisciplineOf, linguistics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subdisciplineOf Context triple: [Indo-European studies, subdisciplineOf, linguistics]
-
A.
subDisciplineOf
chosen
Indicates that one discipline is a more specialized or narrower field within another, broader discipline.
-
B.
hasSubdiscipline
Indicates that one discipline includes another, more specialized field of study as a subordinate branch.
-
C.
subtheory
Indicates that one theory is a component, specialization, or restricted part of another, more general theory.
-
D.
subclassOf
Indicates that one class is a more specific type of another class, inheriting its characteristics as a subset of it.
-
E.
disciplinaryMethod
Indicates a method or approach used to discipline, correct, or control another party’s behavior.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7e0f8908190bfe0a4cd8b31dfed |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b72619cc8190932fdfa0c74dc055 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.