Triple
T24405467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragon Gate USA |
E615297
|
entity |
| Predicate | matchCharacteristics |
P156075
|
FINISHED |
| Object | fast-paced action |
—
|
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: fast-paced action | Statement: [Dragon Gate USA, matchCharacteristics, fast-paced action]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: matchCharacteristics Context triple: [Dragon Gate USA, matchCharacteristics, fast-paced action]
-
A.
ruleCharacteristics
Indicates the defining properties, constraints, or parameters that specify how a particular rule operates or should be applied.
-
B.
formatCharacteristics
Indicates how something is structured, arranged, or presented in terms of its format or layout.
-
C.
maskCharacteristic
Indicates that one entity serves to conceal, obscure, or alter the apparent characteristics or properties of another entity.
-
D.
managementCharacteristic
Indicates a defining quality, style, or attribute associated with how something is managed or administered.
-
E.
termCharacteristics
Indicates the defining properties, attributes, or features that characterize a given term.
- F. None of above. chosen
Provenance (4 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_69e2d7e780bc81908049c779e697a7f6 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294de76848190bd2cf3c7add2dcf1 |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:05 a.m.