Triple
T18684028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gdańsk University of Technology |
E456808
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | GUT |
—
|
NE NERFINISHED |
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: GUT | Statement: [Gdańsk University of Technology, shortName, GUT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GUT Context triple: [Gdańsk University of Technology, shortName, GUT]
-
A.
GUT
chosen
GUT is a leading technical university in Gdańsk, Poland, known for its engineering, technology, and research programs.
-
B.
Gut
Gut is a surname of Germanic origin borne by various individuals, including the Czech ice hockey player and coach Karel Gut.
-
C.
GI
GI is the vehicle registration code used on license plates for the German city of Gießen in the state of Hesse.
-
D.
Dry Gut
Dry Gut is a steep-sided valley or ravine on the island of Saint Helena, known for its stark, barren terrain and proximity to the Prosperous Bay Plain plateau.
-
E.
Gutach
Gutach is a river in the Black Forest region of Baden-Württemberg, Germany, known for flowing from the Titisee and passing scenic valleys and waterfalls before joining the Kinzig.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2b819c8190b5f3d7a88607f6f5 |
completed | April 19, 2026, 10:46 p.m. |
Created at: April 10, 2026, 11:49 a.m.