Triple
T27571958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SRv6 |
E696060
|
entity |
| Predicate | SIDstandsFor |
P590
|
FINISHED |
| Object | Segment Identifier |
—
|
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: Segment Identifier | Statement: [SRv6, SIDstandsFor, Segment Identifier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SIDstandsFor Context triple: [SRv6, SIDstandsFor, Segment Identifier]
-
A.
standsFor
chosen
Indicates that one entity represents, symbolizes, or serves as a substitute or abbreviation for another entity.
-
B.
signatureOrganizationAcronymMeaning
Indicates that the acronym used by an organization in a signature corresponds to a specific expanded meaning or full form.
-
C.
acronymExpansion
Indicates that one term is an acronym whose letters stand for the words in another, longer expression.
-
D.
isStandOf
Indicates that one entity serves as the Stand (a supernatural or personified power) belonging to or associated with another entity.
-
E.
abbreviationOrShortForm
Indicates that one term is an abbreviation or shortened form of another term.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62fec821081909ae17c4c3bdcae19 |
completed | May 2, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 1:43 p.m.