Triple
T7191528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downing College Boat Club |
E167702
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
DCBC
DCBC is the rowing club of Downing College at the University of Cambridge, competing in college and university boat races.
|
E648291
|
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: DCBC | Statement: [Downing College Boat Club, hasAbbreviation, DCBC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DCBC Context triple: [Downing College Boat Club, hasAbbreviation, DCBC]
-
A.
BCDC
BCDC is a California state agency responsible for protecting, enhancing, and overseeing responsible development of the San Francisco Bay and its shoreline.
-
B.
DCB
DCB is a set of post-nominal letters indicating a Dame Commander of the Order of the Bath, a British order of chivalry.
-
C.
DCB
DCB is the Division of Cancer Biology, a branch of the U.S. National Cancer Institute that supports and coordinates research on the biological mechanisms underlying cancer.
-
D.
DCHA
DCHA is the public housing agency responsible for providing and managing affordable housing and related services for low- and moderate-income residents in Washington, D.C.
-
E.
DDC
DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
- 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: DCBC Triple: [Downing College Boat Club, hasAbbreviation, DCBC]
Generated description
DCBC is the rowing club of Downing College at the University of Cambridge, competing in college and university boat races.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DCBC Target entity description: DCBC is the rowing club of Downing College at the University of Cambridge, competing in college and university boat races.
-
A.
BCDC
BCDC is a California state agency responsible for protecting, enhancing, and overseeing responsible development of the San Francisco Bay and its shoreline.
-
B.
DCB
DCB is a set of post-nominal letters indicating a Dame Commander of the Order of the Bath, a British order of chivalry.
-
C.
DCB
DCB is the Division of Cancer Biology, a branch of the U.S. National Cancer Institute that supports and coordinates research on the biological mechanisms underlying cancer.
-
D.
DCHA
DCHA is the public housing agency responsible for providing and managing affordable housing and related services for low- and moderate-income residents in Washington, D.C.
-
E.
DDC
DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e90087208190a65e49ae0e8a7cbf |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf95a1a0819099d252f037c318c7 |
completed | March 28, 2026, 11:46 a.m. |
| NEDg | Description generation | batch_69c7c071778881909a82eedf61cae22b |
completed | March 28, 2026, 11:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c111e05c8190a9cfba3fca1f8198 |
completed | March 28, 2026, 11:52 a.m. |
Created at: March 27, 2026, 2:50 p.m.