Triple
T23684703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Victory Road |
E585130
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Sengoku Raiden Championship
Sengoku Raiden Championship was a Japanese mixed martial arts promotion that hosted a series of notable MMA events in the late 2000s and early 2010s.
|
E1596018
|
NE 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: Sengoku Raiden Championship | Statement: [World Victory Road, knownFor, Sengoku Raiden Championship]
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: Sengoku Raiden Championship Triple: [World Victory Road, knownFor, Sengoku Raiden Championship]
Generated description
Sengoku Raiden Championship was a Japanese mixed martial arts promotion that hosted a series of notable MMA events in the late 2000s and early 2010s.
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_69e249037ce0819088b149608e98f685 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4fb26c88190a6776e4dfd10d54c |
completed | April 29, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f45c0fe7c8190a388da65fb78c23e |
completed | May 21, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_6a0f47644edc819095956da9a92ceb91 |
completed | May 21, 2026, 5:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f48771d848190950327a6923eb080 |
completed | May 21, 2026, 6:01 p.m. |
Created at: April 17, 2026, 6:52 p.m.