Triple
T3814091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Margaret Boat Club |
E84208
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
LMBC
LMBC is the abbreviation for Lady Margaret Boat Club, the rowing club of St John’s College, Cambridge, known for its strong tradition in college rowing.
|
E391744
|
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: LMBC | Statement: [Lady Margaret Boat Club, shortName, LMBC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LMBC Context triple: [Lady Margaret Boat Club, shortName, LMBC]
-
A.
LBC
LBC is a leading UK-based national talk radio station known for its news, politics, and phone-in discussion programmes.
-
B.
LB
LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
-
C.
BLC
BLC is the commonly used abbreviation for the Boston Landmarks Commission, the city agency responsible for identifying and protecting Boston’s historic buildings and districts.
-
D.
LMB
LMB is a commonly used abbreviation that can refer to various organizations or concepts, most notably the MRC Laboratory of Molecular Biology in Cambridge, UK.
-
E.
LM
LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
- 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: LMBC Triple: [Lady Margaret Boat Club, shortName, LMBC]
Generated description
LMBC is the abbreviation for Lady Margaret Boat Club, the rowing club of St John’s College, Cambridge, known for its strong tradition in college rowing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LMBC Target entity description: LMBC is the abbreviation for Lady Margaret Boat Club, the rowing club of St John’s College, Cambridge, known for its strong tradition in college rowing.
-
A.
LBC
LBC is a leading UK-based national talk radio station known for its news, politics, and phone-in discussion programmes.
-
B.
LB
LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
-
C.
BLC
BLC is the commonly used abbreviation for the Boston Landmarks Commission, the city agency responsible for identifying and protecting Boston’s historic buildings and districts.
-
D.
LMB
LMB is a commonly used abbreviation that can refer to various organizations or concepts, most notably the MRC Laboratory of Molecular Biology in Cambridge, UK.
-
E.
LM
LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8dd315481908bef595b56a4f0cb |
completed | March 9, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb3ddc1481909fd4a8befb8ece17 |
completed | March 14, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69b4fbd93b1481909f89d807ef870aa7 |
completed | March 14, 2026, 6:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4ffc51bc08190aef4548a351b5604 |
completed | March 14, 2026, 6:27 a.m. |
Created at: March 9, 2026, 3:17 p.m.