Triple
T986493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | InfiniBand |
E21291
|
entity |
| Predicate | supportsSpeedClass |
P203
|
FINISHED |
| Object | NDR |
E116595
|
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: NDR | Statement: [InfiniBand, supportsSpeedClass, NDR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NDR Context triple: [InfiniBand, supportsSpeedClass, NDR]
-
A.
NDR
chosen
NDR is a high-speed generation of InfiniBand networking technology designed to deliver extremely high bandwidth and low latency for data centers and high-performance computing environments.
-
B.
NRK
NRK is Norway’s public broadcasting corporation, known for producing and airing a wide range of national television and radio programming, including major sports events.
-
C.
NR
NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
-
D.
NDH
NDH was the fascist puppet state established by the Axis powers in World War II on the territory of occupied Croatia and Bosnia and Herzegovina.
-
E.
nde
nde is the ISO 639-2 code for Northern Ndebele, a Bantu language spoken primarily in Zimbabwe.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b75103688190a14342eef3842984 |
completed | March 1, 2026, 10:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac258b55908190bc5bbf1c2756482d |
completed | March 7, 2026, 1:18 p.m. |
Created at: March 1, 2026, 7:41 p.m.