Triple
T9874502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirkstall Forge railway station |
E240039
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
KLF
KLF is the National Rail station code assigned to Kirkstall Forge railway station in West Yorkshire, England.
|
E826675
|
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: KLF | Statement: [Kirkstall Forge railway station, hasStationCode, KLF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KLF Context triple: [Kirkstall Forge railway station, hasStationCode, KLF]
-
A.
KLEW
KLEW is the ICAO airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
-
B.
KLE
KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
-
C.
S.K. Club
S.K. Club is an elite, invitation-only social club known for its exclusivity and influential membership.
-
D.
KLS
KLS is a research center at Kiel University focused on interdisciplinary life science studies, including molecular biology, medicine, and environmental sciences.
-
E.
KLA
KLA is an ethnic Albanian paramilitary organization that fought for Kosovo’s independence from Serbia in the late 1990s.
- 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: KLF Triple: [Kirkstall Forge railway station, hasStationCode, KLF]
Generated description
KLF is the National Rail station code assigned to Kirkstall Forge railway station in West Yorkshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KLF Target entity description: KLF is the National Rail station code assigned to Kirkstall Forge railway station in West Yorkshire, England.
-
A.
KLEW
KLEW is the ICAO airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
-
B.
KLE
KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
-
C.
S.K. Club
S.K. Club is an elite, invitation-only social club known for its exclusivity and influential membership.
-
D.
KLS
KLS is a research center at Kiel University focused on interdisciplinary life science studies, including molecular biology, medicine, and environmental sciences.
-
E.
KLA
KLA is the commonly used abbreviation for the Karnataka Legislative Assembly, the lower house of the state legislature in Karnataka, India.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3f89fa081908b58956902c193cf |
completed | April 2, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e47515788190b6644021e187e771 |
completed | April 5, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69d1e57366748190bf617374264d1873 |
completed | April 5, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1e5ed9818819095119c3478f97419 |
completed | April 5, 2026, 4:32 a.m. |
Created at: March 30, 2026, 8:37 p.m.