Triple
T5479263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAT-T |
E123430
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | IKE |
E184261
|
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: IKE | Statement: [NAT-T, relatedTo, IKE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IKE Context triple: [NAT-T, relatedTo, IKE]
-
A.
IKE
chosen
IKE (Internet Key Exchange) is a protocol used to set up secure, authenticated communication channels and negotiate cryptographic keys, most notably for IPsec VPNs.
-
B.
KI
KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
-
C.
KI
KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
-
D.
KI
KI is the vehicle registration code used on license plates for the German city of Kiel.
-
E.
IKAR
IKAR is the former brand name of the Russian airline now known as Pegas Fly, which operates domestic and international passenger services.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9247a16c8190ac5a02534da48853 |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c7a61848190970a4e34696791eb |
completed | March 22, 2026, 4:13 a.m. |
Created at: March 20, 2026, 2:09 p.m.