Triple
T6645993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland State Vikings |
E150700
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Viks |
E371493
|
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: Viks | Statement: [Portland State Vikings, nickname, Viks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viks Context triple: [Portland State Vikings, nickname, Viks]
-
A.
Viks
chosen
Viks is a shortened nickname commonly used to refer to the Vikings sports teams.
-
B.
Kix
Kix is the stage name of American country music artist and radio host Kix Brooks, best known as one half of the duo Brooks & Dunn.
-
C.
Volax
Volax is a distinctive traditional village on the Greek island of Tinos, known for its unique landscape of scattered granite boulders and its long-standing basket-weaving tradition.
-
D.
Blisco
Blisco is a fell in England's Lake District, known for its rugged slopes and panoramic summit views over the Southern Fells.
-
E.
Vik
Vik is a municipality in Vestland county, Norway, known for its scenic fjord landscapes, historic stave church, and traditional rural communities.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b01bb290819089c4ff2bd2b5e09b |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eef48b488190ac08dc37d4a5d514 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2 p.m.