Triple
T5479133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IKEv2 |
E123427
|
entity |
| Predicate | hasExchangeType |
P21254
|
FINISHED |
| Object | CREATE_CHILD_SA |
—
|
LITERAL 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: CREATE_CHILD_SA | Statement: [IKEv2, hasExchangeType, CREATE_CHILD_SA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExchangeType Context triple: [IKEv2, hasExchangeType, CREATE_CHILD_SA]
-
A.
hasInterchangeType
chosen
Indicates that one entity is associated with a specific type or category of interchange (e.g., mode, format, or method of exchange) in relation to another entity.
-
B.
isInterchangeWith
Indicates that two entities can be substituted or exchanged for one another without loss of function, value, or compatibility.
-
C.
exchangeSymbolType
Indicates the type or category of symbol used to represent an asset on a particular exchange.
-
D.
associatedWithExchange
Indicates a relationship in which an entity is linked or connected to a particular exchange or trading platform.
-
E.
hasBondType
Indicates the specific kind of bond or connection that exists between two related entities.
- F. None of above.
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. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.