Triple
T15986135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dartmouth College men’s rowing program |
E387699
|
entity |
| Predicate | competesIn |
P2440
|
FINISHED |
| Object |
Content Cup
The Content Cup is a collegiate rowing competition in which the Dartmouth College men’s rowing team participates.
|
E1187872
|
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: Content Cup | Statement: [Dartmouth College men’s rowing program, competesIn, Content Cup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Content Cup Context triple: [Dartmouth College men’s rowing program, competesIn, Content Cup]
-
A.
Pull the Cup
Pull the Cup is an attraction at the infamous New Jersey amusement park Action Park, known for its unconventional and often risky rides.
-
B.
CUP
The CUP is the official Cuban peso currency code used in international financial and currency exchange contexts.
-
C.
CUP
CUP is a left-wing, pro-Catalan independence political party active primarily in Catalonia and advocating grassroots democracy and social justice.
-
D.
CUP
CUP is the abbreviation commonly used for China UnionPay, the Chinese state-backed financial services corporation that operates a major global bank card network.
-
E.
CUP
CUP is an academic publishing organization associated with York University, known for producing scholarly books and journals.
- 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: Content Cup Triple: [Dartmouth College men’s rowing program, competesIn, Content Cup]
Generated description
The Content Cup is a collegiate rowing competition in which the Dartmouth College men’s rowing team participates.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Content Cup Target entity description: The Content Cup is a collegiate rowing competition in which the Dartmouth College men’s rowing team participates.
-
A.
Pull the Cup
Pull the Cup is an attraction at the infamous New Jersey amusement park Action Park, known for its unconventional and often risky rides.
-
B.
CUP
The CUP is the official Cuban peso currency code used in international financial and currency exchange contexts.
-
C.
CUP
CUP is a left-wing, pro-Catalan independence political party active primarily in Catalonia and advocating grassroots democracy and social justice.
-
D.
CUP
CUP is an academic publishing organization associated with York University, known for producing scholarly books and journals.
-
E.
CUP
The Committee of Union and Progress (CUP) was a dominant early 20th-century Ottoman political organization and ruling party associated with the Young Turk movement and the empire’s final years.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157589d78819091f7b9b1081dd6ad |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cfc8d08190a02abc90c889c8e1 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc4ed71648190983a0a4150c4d8c4 |
completed | May 9, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc5a5b46881908589fd1dabef5378 |
completed | May 9, 2026, 11:39 p.m. |
Created at: April 10, 2026, 4:54 a.m.