Triple
T16814047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kensal Green station |
E408692
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | KNL |
E1234902
|
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: KNL | Statement: [Kensal Green station, hasStationCode, KNL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KNL Context triple: [Kensal Green station, hasStationCode, KNL]
-
A.
KNL
KNL is the stock ticker symbol for Knoll, an American company known for its modern furniture and workplace design solutions.
-
B.
KNL
chosen
KNL is the National Rail station code for Kensal Green railway station in London, England.
-
C.
KNO
KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
-
D.
KNH
KNH is the IATA airport code for Kinmen Airport, which serves Kinmen Island off the coast of southeastern China and is administered by Taiwan.
-
E.
KNUQ
KNUQ is the ICAO airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e01fb8819081cf2c08f29448da |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb0f863081908e74dc4a7c91e91d |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:23 a.m.