Triple
T34004784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch telephone numbering plan |
E871928
|
entity |
| Predicate | exampleGeographicAreaCode |
P190
|
FINISHED |
| Object | 010 |
—
|
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: 010 | Statement: [Dutch telephone numbering plan, exampleGeographicAreaCode, 010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exampleGeographicAreaCode Context triple: [Dutch telephone numbering plan, exampleGeographicAreaCode, 010]
-
A.
isGeographicCode
Indicates that one entity functions as a geographic code that identifies or represents the location of another entity.
-
B.
codifiesArea
Indicates that something formally defines or specifies the rules, structure, or characteristics of a particular area or domain.
-
C.
areaCode
Indicates that a location, phone number, or region is associated with a specific telephone area code.
-
D.
zoneCode
Indicates that an entity is associated with, or assigned to, a specific geographic or administrative zone identified by a code.
-
E.
hasAreaCode
chosen
Indicates that a specified telephone area code is assigned to or associated with a particular geographic region, location, or phone service entity.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:50 a.m.