Triple
T11656793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazaa |
E277029
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
FastTrack protocol
The FastTrack protocol is a peer-to-peer file-sharing protocol best known for powering early 2000s services like Kazaa, Grokster, and iMesh.
|
E937660
|
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: FastTrack protocol | Statement: [Kazaa, basedOn, FastTrack protocol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FastTrack protocol Context triple: [Kazaa, basedOn, FastTrack protocol]
-
A.
Fast-Track
Fast-Track is a lesser-known Radiohead song released as the B-side to their single "Pyramid Song."
-
B.
Fastiv
Fastiv is a historic city in northern Ukraine known as a regional railway hub and industrial center southwest of Kyiv.
-
C.
FAST
FAST is a U.S. federal law that authorizes long-term funding and policy for the nation’s surface transportation infrastructure, including highways, transit, and rail.
-
D.
FAST
FAST is the public bus transit system serving the Fairfield and Suisun City area in Solano County, California.
-
E.
FAST
FAST is the world’s largest single-dish radio telescope, located in Guizhou, China, and used for cutting-edge astronomical observations such as pulsar detection and studies of interstellar matter.
- 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: FastTrack protocol Triple: [Kazaa, basedOn, FastTrack protocol]
Generated description
The FastTrack protocol is a peer-to-peer file-sharing protocol best known for powering early 2000s services like Kazaa, Grokster, and iMesh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FastTrack protocol Target entity description: The FastTrack protocol is a peer-to-peer file-sharing protocol best known for powering early 2000s services like Kazaa, Grokster, and iMesh.
-
A.
Fast-Track
Fast-Track is a lesser-known Radiohead song released as the B-side to their single "Pyramid Song."
-
B.
Fastiv
Fastiv is a historic city in northern Ukraine known as a regional railway hub and industrial center southwest of Kyiv.
-
C.
FAST
FAST is a U.S. federal law that authorizes long-term funding and policy for the nation’s surface transportation infrastructure, including highways, transit, and rail.
-
D.
FAST
FAST is the public bus transit system serving the Fairfield and Suisun City area in Solano County, California.
-
E.
FAST
FAST is the world’s largest single-dish radio telescope, located in Guizhou, China, and used for cutting-edge astronomical observations such as pulsar detection and studies of interstellar matter.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d0331481909682b2e504e4c9a0 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee88166900819095063f045be44bed |
completed | April 26, 2026, 9:48 p.m. |
| NEDg | Description generation | batch_69eeb315ebc48190a0f6ff0dc8afd462 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eecd954b348190bf2f3ad66acbf1b7 |
completed | April 27, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.