Triple
T25356875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yenice |
E635845
|
entity |
| Predicate | telephoneAreaCodeProvince |
P223
|
FINISHED |
| Object | 0286 |
—
|
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: 0286 | Statement: [Yenice, telephoneAreaCodeProvince, 0286]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: telephoneAreaCodeProvince Context triple: [Yenice, telephoneAreaCodeProvince, 0286]
-
A.
areaCode
chosen
Indicates that a location, phone number, or region is associated with a specific telephone area code.
-
B.
provinceNumber
Indicates a relationship where an entity is assigned a specific numerical identifier corresponding to a province.
-
C.
icaoRegionPrefix
Indicates the regional ICAO prefix that designates the geographic or administrative region associated with an aviation-related entity.
-
D.
cityCode
Indicates the standardized code that uniquely identifies a particular city.
-
E.
postalArea
Indicates that one entity is the postal or ZIP code area associated with the location or address represented by the other 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_69e75a9b7cf481909f2dcdfb37d95ca7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f49e0263e081909449045f434eac6c |
completed | May 1, 2026, 12:35 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:36 p.m.