Triple
T36604988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonders of Life Pavilion |
E903021
|
entity |
| Predicate | bodyWarsType |
P185607
|
FINISHED |
| Object | motion simulator ride |
—
|
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: motion simulator ride | Statement: [Wonders of Life Pavilion, bodyWarsType, motion simulator ride]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyWarsType Context triple: [Wonders of Life Pavilion, bodyWarsType, motion simulator ride]
-
A.
fightType
Indicates the specific category or style of fight associated with an event or interaction between entities.
-
B.
typeOfWrestling
Indicates the specific style or category of wrestling that characterizes a given wrestling activity or event.
-
C.
fightingPreference
Indicates a relationship where one entity has a favored way, style, or choice of engaging in fights or combat relative to others.
-
D.
typeOfDuel
Indicates the specific kind or category of duel that characterizes a given dueling event or relationship between opponents.
-
E.
combatSportGenre
Indicates that the subject is classified as belonging to the combat sport genre.
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c33e7cd081908e0f9a33c3374f6f |
completed | May 3, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69f7c1bbf5848190a698fdbec307886a |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c237bd1881908a00ea5ea17e7660 |
completed | May 3, 2026, 9:46 p.m. |
Created at: May 3, 2026, 4:11 p.m.