Triple
T8402485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langer Eugen |
E198406
|
entity |
| Predicate | UNCampusIntegration |
P33110
|
FINISHED |
| Object | 2006 |
—
|
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: 2006 | Statement: [Langer Eugen, UNCampusIntegration, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UNCampusIntegration Context triple: [Langer Eugen, UNCampusIntegration, 2006]
-
A.
bringsToCampus
Indicates that one entity transports or carries another entity to a campus location.
-
B.
campusUse
chosen
Indicates that something is intended for, associated with, or occurring in the use or activities of a campus or campus community.
-
C.
governsCampus
Indicates that one entity has administrative or authoritative control over the operations and policies of a campus.
-
D.
campus1
Indicates a relationship where an entity is identified as a campus or is located on/associated with a particular campus.
-
E.
campus2
Indicates that one entity is a secondary or additional campus location associated with another primary campus or institution.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb824efa5c81908ce816cdb8e1fcfb |
completed | March 31, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69cb70d473dc8190af8ea81ee5aa970d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:04 p.m.