Triple
T24203433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ROH World Championship |
E600039
|
entity |
| Predicate | gainedWorldStatusBy |
P154730
|
FINISHED |
| Object | defenses in the United Kingdom |
—
|
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: defenses in the United Kingdom | Statement: [ROH World Championship, gainedWorldStatusBy, defenses in the United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedWorldStatusBy Context triple: [ROH World Championship, gainedWorldStatusBy, defenses in the United Kingdom]
-
A.
gainedStatus
chosen
Indicates that an entity has acquired or achieved a particular status, condition, or role as a result of some event or process.
-
B.
hasWorldState
Indicates that an entity is associated with, or exists within, a particular overall configuration or condition of the world at a given time.
-
C.
hasWorld
Indicates that an entity possesses, is associated with, or encompasses a particular world or global context.
-
D.
globalStatus
Indicates the overall state or condition of an entity as evaluated at a system-wide or global level.
-
E.
reachedWorldNo
Indicates that an entity has attained a specified world ranking position (e.g., world number X) in a particular domain or classification.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca38c148190ae65cd692567d43d |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:37 p.m.