Triple
T4043140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whittier College |
E83999
|
entity |
| Predicate | hasGreekLife |
P53771
|
FINISHED |
| Object | local societies |
—
|
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: local societies | Statement: [Whittier College, hasGreekLife, local societies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGreekLife Context triple: [Whittier College, hasGreekLife, local societies]
-
A.
hasNameInGreek
Indicates that an entity is associated with a specific representation of its name in the Greek language.
-
B.
hasTitleInGreek
Indicates that an entity possesses a specific title expressed in the Greek language.
-
C.
GreekForcesIncluded
Indicates that a set of forces or troops includes Greek military units as part of its composition.
-
D.
typeOfGreek
Indicates that one entity is a specific kind or category of Greek associated with the other entity.
-
E.
rankByAreaInGreece
Indicates the relative ordering of entities based on their area size within the geographic boundaries of Greece.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5b65c08190ba3f340ed18737f8 |
completed | March 9, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69aef900386481909d04555a9ec9b0e3 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef98ed84c81909dc86097df4afd4f |
completed | March 9, 2026, 4:47 p.m. |
Created at: March 9, 2026, 3:37 p.m.