Triple
T19446525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilmaurs railway station |
E486491
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
KLM
KLM is the National Rail station code for Kilmaurs railway station in East Ayrshire, Scotland.
|
E1376514
|
NE FINISHED |
How this triple was built (4 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: KLM | Statement: [Kilmaurs railway station, hasStationCode, KLM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KLM Context triple: [Kilmaurs railway station, hasStationCode, KLM]
-
A.
KLM
KLM is the flag carrier airline of the Netherlands and one of the world's oldest airlines still operating under its original name.
-
B.
KLM line
The KLM line was a legendary Soviet ice hockey forward trio featuring Vladimir Krutov, Igor Larionov, and Sergei Makarov, renowned for their skill, chemistry, and dominance in international play.
-
C.
KLM Cityhopper
KLM Cityhopper is a Dutch regional airline and subsidiary of KLM that operates short-haul flights across Europe, primarily feeding traffic into KLM’s main network.
-
D.
Transavia
Transavia is a Dutch low-cost airline operating scheduled and charter flights across Europe and North Africa.
-
E.
Brussels Airlines
Brussels Airlines is the flag carrier airline of Belgium, operating flights across Europe, Africa, and other regions as part of the Lufthansa Group.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KLM Triple: [Kilmaurs railway station, hasStationCode, KLM]
Generated description
KLM is the National Rail station code for Kilmaurs railway station in East Ayrshire, Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KLM Target entity description: KLM is the National Rail station code for Kilmaurs railway station in East Ayrshire, Scotland.
-
A.
KLM
KLM is the flag carrier airline of the Netherlands and one of the world's oldest airlines still operating under its original name.
-
B.
KLM line
The KLM line was a legendary Soviet ice hockey forward trio featuring Vladimir Krutov, Igor Larionov, and Sergei Makarov, renowned for their skill, chemistry, and dominance in international play.
-
C.
KLM Cityhopper
KLM Cityhopper is a Dutch regional airline and subsidiary of KLM that operates short-haul flights across Europe, primarily feeding traffic into KLM’s main network.
-
D.
Transavia
Transavia is a Dutch low-cost airline operating scheduled and charter flights across Europe and North Africa.
-
E.
Brussels Airlines
Brussels Airlines is the flag carrier airline of Belgium, operating flights across Europe, Africa, and other regions as part of the Lufthansa Group.
- F. None of above. chosen
Provenance (5 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338a22608190bb31a1690ca0dab6 |
completed | April 20, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a073b2d981081908b3e1f8220f36703 |
completed | May 15, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_6a073c43c77c81909b1fe5bf56393b77 |
completed | May 15, 2026, 3:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073cbbb65c81908a2bb8ad043bb34f |
completed | May 15, 2026, 3:33 p.m. |
Created at: April 10, 2026, 1:38 p.m.