Triple
T776987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawarden, Iowa |
E16407
|
entity |
| Predicate | areaCodeType |
P14650
|
FINISHED |
| Object | telephone area code |
—
|
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: telephone area code | Statement: [Hawarden, Iowa, areaCodeType, telephone area code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaCodeType Context triple: [Hawarden, Iowa, areaCodeType, telephone area code]
-
A.
areaCode
Indicates that a location, phone number, or region is associated with a specific telephone area code.
-
B.
hasAreaCodeType
chosen
Indicates that an entity’s area code is associated with a specific type or classification of area code.
-
C.
callingCodeType
Indicates the type or category of a telephone calling code associated with an entity.
-
D.
regionCodeType
Indicates the classification or format type used for a given region code within a coding or identification system.
-
E.
hasAreaCode
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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a74da7648190adfad56717d564df |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a50a443481909ae3662764ee69a4 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.