Triple
T21368354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo University of Marine Science and Technology |
E526982
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | TUMSAT |
—
|
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: TUMSAT | Statement: [Tokyo University of Marine Science and Technology, shortName, TUMSAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TUMSAT Context triple: [Tokyo University of Marine Science and Technology, shortName, TUMSAT]
-
A.
TUMSAT
chosen
TUMSAT is a Japanese national university specializing in marine science, fisheries, and related technologies, based in Tokyo.
-
B.
TUM
TUM is the station code for Tumba railway station in New South Wales, Australia.
-
C.
TUM SOT
TUM SOT is the TUM School of Social Sciences and Technology at the Technical University of Munich, focusing on the intersection of social sciences, technology, and policy.
-
D.
TUDa
TUDa is a leading German research university located in Darmstadt, renowned for its engineering, computer science, and natural sciences programs.
-
E.
TUM School of Social Sciences and Technology
The TUM School of Social Sciences and Technology is a faculty of the Technical University of Munich that focuses on the intersection of social sciences, education, and technology in research and teaching.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5baf5fb4819093f8d8afdd83ffdb |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:09 p.m.