Triple
T11834104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feyenoord |
E281470
|
entity |
| Predicate | rival |
P437
|
FINISHED |
| Object |
Excelsior
Excelsior is a professional football club from Rotterdam, Netherlands, known as one of Feyenoord’s local city rivals.
|
E950229
|
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: Excelsior | Statement: [Feyenoord, rival, Excelsior]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Excelsior Context triple: [Feyenoord, rival, Excelsior]
-
A.
Excelsior
Excelsior is the Latin state motto of New York, meaning "ever upward" and symbolizing aspiration and continual progress.
-
B.
Excelsior
Excelsior is a small lakeside city in Minnesota known for its historic downtown and location on the shores of Lake Minnetonka.
-
C.
The Yankee
The Yankee is the nickname of Hank Morgan, the time-traveling 19th-century engineer who becomes a powerful figure in King Arthur’s court in Mark Twain’s novel "A Connecticut Yankee in King Arthur’s Court."
-
D.
The Bell
The Bell is a 1958 novel by British philosopher and author Iris Murdoch that explores morality, religion, and human relationships within a lay religious community.
-
E.
The Bell
The Bell is a prominent rock peak in South Africa’s Drakensberg range, known for its striking bell-like shape and challenging hiking and climbing routes.
- 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: Excelsior Triple: [Feyenoord, rival, Excelsior]
Generated description
Excelsior is a professional football club from Rotterdam, Netherlands, known as one of Feyenoord’s local city rivals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Excelsior Target entity description: Excelsior is a professional football club from Rotterdam, Netherlands, known as one of Feyenoord’s local city rivals.
-
A.
Excelsior
Excelsior is the Latin state motto of New York, meaning "ever upward" and symbolizing aspiration and continual progress.
-
B.
Excelsior
Excelsior is a small lakeside city in Minnesota known for its historic downtown and location on the shores of Lake Minnetonka.
-
C.
The Yankee
The Yankee is the nickname of Hank Morgan, the time-traveling 19th-century engineer who becomes a powerful figure in King Arthur’s court in Mark Twain’s novel "A Connecticut Yankee in King Arthur’s Court."
-
D.
The Bell
The Bell is a prominent rock peak in South Africa’s Drakensberg range, known for its striking bell-like shape and challenging hiking and climbing routes.
-
E.
The Bell
The Bell is a 1958 novel by British philosopher and author Iris Murdoch that explores morality, religion, and human relationships within a lay religious community.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62e7e408190998bebe346c82e89 |
completed | April 10, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f16753f4f88190940e53312aff4333 |
completed | April 29, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_69f17004fb908190a486c6718c5252cb |
completed | April 29, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f1db11f0f48190832ca4f552f21751 |
completed | April 29, 2026, 10:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.