Triple
T6370353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midland Counties Railway |
E143328
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
MCR
MCR is the abbreviation for the Midland Counties Railway, a historic 19th-century British railway company that operated in the English Midlands.
|
E588070
|
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: MCR | Statement: [Midland Counties Railway, hasAbbreviation, MCR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MCR Context triple: [Midland Counties Railway, hasAbbreviation, MCR]
-
A.
MCR
The MCR is the Middle Common Room, a postgraduate student community and social organization within Jesus College.
-
B.
MCD
MCD is a system of urban and suburban commuter rail lines in Moscow designed to function like an express metro, connecting the city with its surrounding regions.
-
C.
MCRC
MCRC is the United States Marine Corps Recruiting Command responsible for enlisting and accessing new Marines into the Corps.
-
D.
MCA
MCA is the UK government executive agency responsible for maritime safety, search and rescue coordination, and preventing pollution from ships in UK waters.
-
E.
MCA
MCA was a major American record label and entertainment company known for signing prominent artists and producing a wide range of popular music releases.
- 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: MCR Triple: [Midland Counties Railway, hasAbbreviation, MCR]
Generated description
MCR is the abbreviation for the Midland Counties Railway, a historic 19th-century British railway company that operated in the English Midlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MCR Target entity description: MCR is the abbreviation for the Midland Counties Railway, a historic 19th-century British railway company that operated in the English Midlands.
-
A.
MCR
The MCR is the Middle Common Room, a postgraduate student community and social organization within Jesus College.
-
B.
MCD
MCD is a system of urban and suburban commuter rail lines in Moscow designed to function like an express metro, connecting the city with its surrounding regions.
-
C.
MCRC
MCRC is the United States Marine Corps Recruiting Command responsible for enlisting and accessing new Marines into the Corps.
-
D.
MCA
MCA is the UK government executive agency responsible for maritime safety, search and rescue coordination, and preventing pollution from ships in UK waters.
-
E.
MCA
MCA was a major American record label and entertainment company known for signing prominent artists and producing a wide range of popular music releases.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068277f6c81908e6a55e006f0c229 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d8bce3481909b0bf7533b330d1f |
completed | March 27, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_69c62e2072808190a4f2dd262b631c88 |
completed | March 27, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c62f1bbdac8190b0cff9fbcddd68a7 |
completed | March 27, 2026, 7:17 a.m. |
Created at: March 22, 2026, 4:33 p.m.