Triple
T1205418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Brooms railway station |
E25876
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
HIB
HIB is the National Rail station code for High Brooms railway station in Kent, England.
|
E137753
|
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: HIB | Statement: [High Brooms railway station, hasStationCode, HIB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HIB Context triple: [High Brooms railway station, hasStationCode, HIB]
-
A.
HB
HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
-
B.
HBC
HBC is the stock ticker symbol for Hudson's Bay Company, a historic Canadian retail business group known for its department stores and real estate holdings.
-
C.
Leqembi
Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
-
D.
HAV
HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
-
E.
HBE
HBE is the IATA airport code for Borg El Arab Airport, the main international airport serving Alexandria, Egypt.
- 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: HIB Triple: [High Brooms railway station, hasStationCode, HIB]
Generated description
HIB is the National Rail station code for High Brooms railway station in Kent, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HIB Target entity description: HIB is the National Rail station code for High Brooms railway station in Kent, England.
-
A.
HB
HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
-
B.
HBC
HBC is the stock ticker symbol for Hudson's Bay Company, a historic Canadian retail business group known for its department stores and real estate holdings.
-
C.
Leqembi
Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
-
D.
HAV
HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
-
E.
HBE
HBE is the IATA airport code for Borg El Arab Airport, the main international airport serving Alexandria, Egypt.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc0f8d08190b340012a9eb26275 |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f3f4c508190bdc3d436d393daf9 |
completed | March 7, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69ac7fc59a488190adbdf156aaff8c03 |
completed | March 7, 2026, 7:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac806a6d748190acc5cdfa8fb90a64 |
completed | March 7, 2026, 7:45 p.m. |
Created at: March 1, 2026, 7:46 p.m.