Triple
T2495155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khyber Pakhtunkhwa |
E52137
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | KP |
E52137
|
NE 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: KP | Statement: [Khyber Pakhtunkhwa, hasAbbreviation, KP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KP Context triple: [Khyber Pakhtunkhwa, hasAbbreviation, KP]
-
A.
KP
chosen
KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
-
B.
PK
PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
-
C.
KC
KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
-
D.
KC
KC is the vehicle registration code used on license plates for the district of Kronach in Upper Franconia, Germany.
-
E.
KE
KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd19541048190b9e39db119c20fe8 |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b8789c88190b0300af1260eb9bd |
completed | March 9, 2026, 8:20 p.m. |
Created at: March 6, 2026, 9:45 p.m.