Triple
T22887488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilburg University |
E567641
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | TiU |
—
|
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: TiU | Statement: [Tilburg University, hasAbbreviation, TiU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TiU Context triple: [Tilburg University, hasAbbreviation, TiU]
-
A.
TiU
chosen
TiU is the commonly used abbreviation for Tilburg University, a research university in Tilburg, the Netherlands known for its programs in social sciences, economics, law, and humanities.
-
B.
Ti
Ti is the given name of American filmmaker Ti West, known for his work in the horror genre.
-
C.
Ti
Ti was an ancient Egyptian official of the Fifth Dynasty, known from his elaborately decorated mastaba tomb at Saqqara that provides important insights into Old Kingdom life and art.
-
D.
TI
TI is a popular hotel and casino on the Las Vegas Strip known for its pirate-themed past and vibrant resort atmosphere.
-
E.
TI
TI is the commonly used abbreviation for Newfoundland and Labrador’s provincial Department of Transportation and Infrastructure, which oversees the planning, construction, and maintenance of public transportation networks and related infrastructure.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc2adb4819081bce7e6849ba31a |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.