Triple
T8972888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dublin University Boat Club |
E214309
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
DUBC
DUBC is the rowing club of Trinity College Dublin, known for its long history and competitive success in Irish and international rowing.
|
E770313
|
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: DUBC | Statement: [Dublin University Boat Club, alsoKnownAs, DUBC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DUBC Context triple: [Dublin University Boat Club, alsoKnownAs, DUBC]
-
A.
DUB
DUB is the three-letter IATA airport code for Dublin Airport, the main international gateway to Dublin and the Republic of Ireland.
-
B.
DUCET
DUCET is the Default Unicode Collation Element Table, a standard reference used to define the sorting and comparison order of Unicode characters across different languages and scripts.
-
C.
DCBC
DCBC is the rowing club of Downing College at the University of Cambridge, competing in college and university boat races.
-
D.
Dublanc
Dublanc is a small coastal village in Dominica known for its fishing community and proximity to natural attractions like Morne Diablotins.
-
E.
U-Dub
U-Dub is a common nickname for the University of Washington, a major public research university in Seattle known for its strong academic and athletic programs.
- 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: DUBC Triple: [Dublin University Boat Club, alsoKnownAs, DUBC]
Generated description
DUBC is the rowing club of Trinity College Dublin, known for its long history and competitive success in Irish and international rowing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DUBC Target entity description: DUBC is the rowing club of Trinity College Dublin, known for its long history and competitive success in Irish and international rowing.
-
A.
DUB
DUB is the three-letter IATA airport code for Dublin Airport, the main international gateway to Dublin and the Republic of Ireland.
-
B.
DUCET
DUCET is the Default Unicode Collation Element Table, a standard reference used to define the sorting and comparison order of Unicode characters across different languages and scripts.
-
C.
DCBC
DCBC is the rowing club of Downing College at the University of Cambridge, competing in college and university boat races.
-
D.
DUHAC
DUHAC is the athletics and running club of Trinity College Dublin, catering to students and staff across a range of track, field, and distance events.
-
E.
Dublanc
Dublanc is a small coastal village in Dominica known for its fishing community and proximity to natural attractions like Morne Diablotins.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc678242908190a32a73423319ebb3 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc9632afc8190a4dc14d33e8757ee |
completed | April 3, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69cfcb178d488190ab8ea897f964c10a |
completed | April 3, 2026, 2:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfcc1bb3248190ac94ed37be2dcde4 |
completed | April 3, 2026, 2:18 p.m. |
Created at: March 30, 2026, 7:02 p.m.