Triple
T20688340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Shih Chen |
E508480
|
entity |
| Predicate | leftUniversity |
P141060
|
FINISHED |
| Object | University of Illinois at Urbana–Champaign before graduation |
—
|
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: University of Illinois at Urbana–Champaign before graduation | Statement: [Steven Shih Chen, leftUniversity, University of Illinois at Urbana–Champaign before graduation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leftUniversity Context triple: [Steven Shih Chen, leftUniversity, University of Illinois at Urbana–Champaign before graduation]
-
A.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
-
B.
awayUniversity
Indicates that an entity is located at or associated with a university that is geographically distant from another referenced place or context.
-
C.
countryUniversity
Indicates that a university is located in, or belongs to, a particular country.
-
D.
university2
Indicates a relationship where an entity is a university associated with, attended by, or otherwise linked to another entity.
-
E.
stateUniversity
Indicates that an institution is a university that is publicly funded and operated under the authority of a state or similar governmental entity.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10b7b808190bdb8b08e53168fb8 |
completed | April 21, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 11:49 a.m.