Triple
T34877117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuban telephone numbering plan |
E1005908
|
entity |
| Predicate | nsnLength |
P181961
|
FINISHED |
| Object | 8 digits |
—
|
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: 8 digits | Statement: [Cuban telephone numbering plan, nsnLength, 8 digits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nsnLength Context triple: [Cuban telephone numbering plan, nsnLength, 8 digits]
-
A.
nonceLength
Indicates the length or size of a nonce value used in a cryptographic or security-related context.
-
B.
inningLength
Indicates the duration or number of units (e.g., outs, minutes, or pitches) that make up a single inning in a game or sporting event.
-
C.
identifierLength
Indicates the length or number of characters in an entity’s identifier.
-
D.
extensionLength
Indicates the length or magnitude of an extension from a reference point or base object.
-
E.
IVLength
Indicates the measured length of an intravenous (IV) line or catheter used in a medical context.
- F. None of above. chosen
Provenance (4 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782f416c081908bdd9b1ad456f0e2 |
completed | May 3, 2026, 5:16 p.m. |
Created at: May 3, 2026, 4 p.m.