Triple
T22614482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristiansand Station |
E566804
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | KRS |
—
|
NE NERFINISHED |
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: KRS | Statement: [Kristiansand Station, hasStationCode, KRS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KRS Context triple: [Kristiansand Station, hasStationCode, KRS]
-
A.
KRS
KRS is a major masonry dam in Karnataka, India, built across the Kaveri River and known for its role in irrigation, water supply, and the Brindavan Gardens.
-
B.
KRS
KRS is the Polish National Council of the Judiciary, a constitutional body responsible for safeguarding judicial independence and overseeing the appointment of judges in Poland.
-
C.
KRS
chosen
KRS is the IATA airport code for Kristiansand Airport, Kjevik, a regional airport in southern Norway.
-
D.
KRS 1
KRS 1 is an alternate name for KRS-One, the influential American rapper and hip-hop pioneer known for his work with Boogie Down Productions and his socially conscious lyrics.
-
E.
KRM
KRM is the station code for Remagen railway station in Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167ecc7188190bf41fe2177d48e6c |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:58 p.m.