Triple
T485481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birmingham New Street |
E9866
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
BHM
BHM is the three-letter National Rail station code for Birmingham New Street, the main railway hub in Birmingham, England.
|
E60422
|
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: BHM | Statement: [Birmingham New Street, stationCode, BHM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BHM Context triple: [Birmingham New Street, stationCode, BHM]
-
A.
HM
HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
-
B.
HMG
HMG is the common abbreviation for His Majesty’s Government, the central executive authority of the United Kingdom responsible for national policy and administration.
-
C.
BnG
BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
-
D.
HMT
HMT is the commonly used abbreviation for HM Treasury, the United Kingdom government department responsible for economic and financial policy.
-
E.
MH
MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
- 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: BHM Triple: [Birmingham New Street, stationCode, BHM]
Generated description
BHM is the three-letter National Rail station code for Birmingham New Street, the main railway hub in Birmingham, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BHM Target entity description: BHM is the three-letter National Rail station code for Birmingham New Street, the main railway hub in Birmingham, England.
-
A.
HM
HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
-
B.
HMG
HMG is the common abbreviation for His Majesty’s Government, the central executive authority of the United Kingdom responsible for national policy and administration.
-
C.
BnG
BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
-
D.
HMT
HMT is the commonly used abbreviation for HM Treasury, the United Kingdom government department responsible for economic and financial policy.
-
E.
MH
MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0bb46788190b40182bf2a54f98f |
completed | Feb. 28, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a471205b9081908e75db702e9b3530 |
completed | March 1, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69a47180628c8190b801210ec5edf071 |
completed | March 1, 2026, 5:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4721291a08190bc0b6f3aaadf8b71 |
completed | March 1, 2026, 5:06 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.