Triple
T12359338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilburn Park |
E294691
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
KBN
KBN is the National Rail station code assigned to Kilburn Park station in London.
|
E979191
|
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: KBN | Statement: [Kilburn Park, hasStationCode, KBN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KBN Context triple: [Kilburn Park, hasStationCode, KBN]
-
A.
Kbn
Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
-
B.
KNB
KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
-
C.
BKB
BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
-
D.
KNBH
KNBH was the original call sign of the Los Angeles television station now known as KNBC-TV, the NBC owned-and-operated flagship on the West Coast.
-
E.
KNA
KNA is the ICAO airline designator assigned to Kunming Airlines, a Chinese carrier based in Kunming, Yunnan.
- 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: KBN Triple: [Kilburn Park, hasStationCode, KBN]
Generated description
KBN is the National Rail station code assigned to Kilburn Park station in London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KBN Target entity description: KBN is the National Rail station code assigned to Kilburn Park station in London.
-
A.
Kbn
Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
-
B.
KNB
KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
-
C.
BKB
BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
-
D.
KNBH
KNBH was the original call sign of the Los Angeles television station now known as KNBC-TV, the NBC owned-and-operated flagship on the West Coast.
-
E.
KNA
KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f90201481909359416b8b9f7871 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab771448190b7f76e424ec0b4b5 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62eb8b8d081908508a06d495f995f |
completed | May 2, 2026, 5:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62f55324081908b855f7fbca7082b |
completed | May 2, 2026, 5:07 p.m. |
Created at: April 8, 2026, 9:54 p.m.