Triple
T636932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kassel Huskies |
E16642
|
entity |
| Predicate | leagueParticipation |
P2209
|
FINISHED |
| Object |
DEL2
DEL2 is Germany’s second-tier professional ice hockey league, sitting directly below the top-level DEL.
|
E79953
|
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: DEL2 | Statement: [Kassel Huskies, leagueParticipation, DEL2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DEL2 Context triple: [Kassel Huskies, leagueParticipation, DEL2]
-
A.
DELTA
DELTA is the radio callsign used by pilots and air traffic control to identify and communicate with Delta Air Lines flights.
-
B.
Po Delta
The Po Delta is a vast, low-lying river delta in northeastern Italy where the Po River empties into the Adriatic Sea, known for its wetlands, biodiversity, and agricultural landscapes.
-
C.
DHE
DHE is the Massachusetts state agency responsible for coordinating and overseeing public higher education institutions and policies.
-
D.
Leqembi
Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
-
E.
Ehrlich
Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
- 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: DEL2 Triple: [Kassel Huskies, leagueParticipation, DEL2]
Generated description
DEL2 is Germany’s second-tier professional ice hockey league, sitting directly below the top-level DEL.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DEL2 Target entity description: DEL2 is Germany’s second-tier professional ice hockey league, sitting directly below the top-level DEL.
-
A.
DELTA
DELTA is the radio callsign used by pilots and air traffic control to identify and communicate with Delta Air Lines flights.
-
B.
Po Delta
The Po Delta is a vast, low-lying river delta in northeastern Italy where the Po River empties into the Adriatic Sea, known for its wetlands, biodiversity, and agricultural landscapes.
-
C.
DHE
DHE is the Massachusetts state agency responsible for coordinating and overseeing public higher education institutions and policies.
-
D.
Leqembi
Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
-
E.
Ehrlich
Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee7fdbc8190858e42bb1bfdb3ff |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a57405d6f48190b55542d50d3a1f22 |
completed | March 2, 2026, 11:27 a.m. |
| NEDg | Description generation | batch_69a574b91b2c8190a09d837f2462c1b3 |
completed | March 2, 2026, 11:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5751b2e3081908c4cc5d54fa78e9d |
completed | March 2, 2026, 11:31 a.m. |
Created at: March 1, 2026, 7:35 p.m.