Triple
T3149777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speed Channel |
E65848
|
entity |
| Predicate | subjectHasWebsite |
P69
|
FINISHED |
| Object | http://www.speedtv.com |
—
|
LITERAL FINISHED |
How this triple was built (2 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: http://www.speedtv.com | Statement: [Speed Channel, subjectHasWebsite, http://www.speedtv.com]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectHasWebsite Context triple: [Speed Channel, subjectHasWebsite, http://www.speedtv.com]
-
A.
hasPublisherWebsite
Indicates that an entity is associated with the official website of its publisher.
-
B.
hasUniversityWebsite
Indicates that a university is associated with a specific official website.
-
C.
hasCompanionWebsite
Indicates that something is associated with or supported by a dedicated companion website.
-
D.
website
chosen
Indicates that one entity is the official website or web presence associated with another entity.
-
E.
hasTourismWebsite
Indicates that an entity has an associated official website specifically dedicated to providing tourism-related information about it.
- F. None of above.
Provenance (3 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5bf902c8190a490fa55e2dcecc0 |
completed | March 8, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.