Triple
T9219351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home Political Representation |
E221320
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | KRP |
E752093
|
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: KRP | Statement: [Home Political Representation, shortName, KRP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KRP Context triple: [Home Political Representation, shortName, KRP]
-
A.
KRP
chosen
KRP is the IATA airport code for Karup Airport, a regional airport in Denmark.
-
B.
RKP
RKP is the Swedish abbreviation for the Swedish People’s Party of Finland, a liberal-centrist political party representing the Swedish-speaking minority in Finland.
-
C.
RKR
RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
-
D.
KRU
KRU is a German vehicle registration code assigned to the district of Günzburg in the state of Bavaria.
-
E.
KOR
KOR is the FIFA country code representing the South Korea national football team in international competitions.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda74808081908d4bf890759e7120 |
completed | April 1, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0662c28648190979cf786fc35ab75 |
completed | April 4, 2026, 1:15 a.m. |
Created at: March 30, 2026, 7:28 p.m.