Triple
T2073902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC St. Pauli |
E44877
|
entity |
| Predicate | nickName |
P2937
|
FINISHED |
| Object |
Kiezkicker
Kiezkicker is the popular nickname for FC St. Pauli, the Hamburg-based football club known for its left-wing fan culture and strong anti-fascist stance.
|
E232795
|
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: Kiezkicker | Statement: [FC St. Pauli, nickName, Kiezkicker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiezkicker Context triple: [FC St. Pauli, nickName, Kiezkicker]
-
A.
Kiddo
Kiddo is a music producer known for working on the track "Elevation."
-
B.
Horseshoe
Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
-
C.
The Ball
"The Ball" is a short story by renowned Japanese author Ryūnosuke Akutagawa, reflecting his characteristic blend of psychological insight and modernist narrative style.
-
D.
The Ball
The Ball is the popular nickname for Reunion Tower, a distinctive geodesic observation tower and Dallas landmark known for its glowing spherical top.
-
E.
Koop
Koop is a surname most prominently associated with C. Everett Koop, the influential former Surgeon General of the United States.
- 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: Kiezkicker Triple: [FC St. Pauli, nickName, Kiezkicker]
Generated description
Kiezkicker is the popular nickname for FC St. Pauli, the Hamburg-based football club known for its left-wing fan culture and strong anti-fascist stance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kiezkicker Target entity description: Kiezkicker is the popular nickname for FC St. Pauli, the Hamburg-based football club known for its left-wing fan culture and strong anti-fascist stance.
-
A.
Kiddo
Kiddo is a music producer known for working on the track "Elevation."
-
B.
Horseshoe
Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
-
C.
The Ball
"The Ball" is a short story by renowned Japanese author Ryūnosuke Akutagawa, reflecting his characteristic blend of psychological insight and modernist narrative style.
-
D.
The Ball
The Ball is the popular nickname for Reunion Tower, a distinctive geodesic observation tower and Dallas landmark known for its glowing spherical top.
-
E.
Koop
Koop is a surname most prominently associated with C. Everett Koop, the influential former Surgeon General of the United States.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba101c008190840763d2f28fa8d7 |
completed | March 7, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2730d2548190b51dc61520981ca0 |
completed | March 9, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_69ae27e4a6f88190a6af44f2cc822f31 |
completed | March 9, 2026, 1:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2876710c81909451744f48337998 |
completed | March 9, 2026, 1:55 a.m. |
Created at: March 4, 2026, 7:41 p.m.