Triple
T5362244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Order |
E103047
|
entity |
| Predicate | universityContext |
P787
|
FINISHED |
| Object | part of Yale senior society system |
—
|
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: part of Yale senior society system | Statement: [The Order, universityContext, part of Yale senior society system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityContext Context triple: [The Order, universityContext, part of Yale senior society system]
-
A.
university2
Indicates a relationship where an entity is a university associated with, attended by, or otherwise linked to another entity.
-
B.
university
chosen
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
-
C.
awayUniversity
Indicates that an entity is located at or associated with a university that is geographically distant from another referenced place or context.
-
D.
universityName
Indicates the official name associated with a particular university.
-
E.
campus
Indicates that an entity is located on, associated with, or taking place within a particular campus.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd865a0bb081909579cfe7c7974075 |
completed | March 20, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69bd845f41f88190b75b8b64b9e41862 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:02 p.m.