Triple
T8453603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seattle Pacific University |
E199862
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SPU |
E199862
|
NE 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: SPU | Statement: [Seattle Pacific University, abbreviation, SPU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SPU Context triple: [Seattle Pacific University, abbreviation, SPU]
-
A.
SPU
chosen
SPU is a private Christian liberal arts university located in Seattle, Washington.
-
B.
UWSP
UWSP is a public university in Stevens Point, Wisconsin, known for its strong programs in natural resources, education, and the arts within the University of Wisconsin System.
-
C.
SCU
SCU is the IATA airport code for Antonio Maceo International Airport serving Santiago de Cuba, Cuba.
-
D.
SFPUC
SFPUC is the municipal agency responsible for providing water, wastewater, and power services to San Francisco and surrounding areas.
-
E.
SU
SU is the commonly used abbreviation for Saurashtra University, a public higher education institution located in Gujarat, India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe48aee388190864ef1186d5ee419 |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dda289c81908e0cc8e1a504caa1 |
completed | April 2, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:09 p.m.