Triple
T26100465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican telephone numbering plan |
E658384
|
entity |
| Predicate | usesTrunkPrefix |
P161678
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Mexican telephone numbering plan, usesTrunkPrefix, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTrunkPrefix Context triple: [Mexican telephone numbering plan, usesTrunkPrefix, none]
-
A.
trunkPrefix
Indicates that one entity serves as the initial, leading segment or prefix of another entity, often in a hierarchical or concatenated structure.
-
B.
usedAsPrefixIn
Indicates that one element functions as a leading prefix component in the formation or representation of another element.
-
C.
supportsTrunks
Indicates that one entity provides structural or functional support to the trunks of another entity.
-
D.
usesTrunkLineColor
Indicates that one entity adopts or applies the trunk line color associated with another entity or system.
-
E.
isOnTrunkLine
Indicates that something is located on, or directly connected to, a primary or main trunk line within a network or system.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6200ac60481909895c61d050b1338 |
completed | May 2, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 26, 2026, 7:54 p.m.