Triple
T17632859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yale Department of Political Science |
E430019
|
entity |
| Predicate | hasNotableSubfieldStrength |
P40124
|
FINISHED |
| Object | political theory at Yale |
—
|
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: political theory at Yale | Statement: [Yale Department of Political Science, hasNotableSubfieldStrength, political theory at Yale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableSubfieldStrength Context triple: [Yale Department of Political Science, hasNotableSubfieldStrength, political theory at Yale]
-
A.
hasNotableStrengthIn
chosen
Indicates that an entity possesses a particularly high level of ability, effectiveness, or advantage in a specific area or domain.
-
B.
hasStrongField
Indicates that one entity possesses or exhibits a powerful or intense field (such as a physical, electromagnetic, or influence field) relative to some context or standard.
-
C.
hasQSSubjectStrength
Indicates that an entity has a specified level or degree of subject strength within a quality or qualification system.
-
D.
hasStrengthDescriptor
Indicates that an entity is associated with a qualitative description of its strength or intensity.
-
E.
containsAsSubfield
Indicates that one field or data structure includes another field as a nested or component subfield within it.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dc276b48190923f1869ebfe4400 |
completed | April 19, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:52 a.m.