Triple
T14448907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4TU.Federation |
E358279
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | 4TU |
E358279
|
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: 4TU | Statement: [4TU.Federation, abbreviation, 4TU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 4TU Context triple: [4TU.Federation, abbreviation, 4TU]
-
A.
4TU.Federation
chosen
4TU.Federation is a collaborative alliance of four Dutch technical universities focused on strengthening and coordinating engineering and technology education and research in the Netherlands.
-
B.
TUW
TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
-
C.
ZTU
ZTU is the IATA station code assigned to a specific passenger rail station in Miami, Florida, used for ticketing and travel logistics.
-
D.
TUDa
TUDa is a leading German research university located in Darmstadt, renowned for its engineering, computer science, and natural sciences programs.
-
E.
TUK
TUK is the abbreviation for the Technical University of Kaiserslautern, a German public research university known for its strong engineering and science programs.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de916139888190be219678e29a2a3a |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bdf451c8190baaa3f7500eaea16 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:19 a.m.