Triple
T17036383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maquette |
E413329
|
entity |
| Predicate | playtime |
P125596
|
FINISHED |
| Object | approximately 4–6 hours |
—
|
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: approximately 4–6 hours | Statement: [Maquette, playtime, approximately 4–6 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playtime Context triple: [Maquette, playtime, approximately 4–6 hours]
-
A.
playTime
chosen
Indicates the duration or specific time period during which an entity engages in playing or recreational activity with another entity or object.
-
B.
plays
Indicates that an entity engages in or performs an activity, game, role, or piece of music.
-
C.
starsPlay
Indicates that an entity has a leading or prominent acting role in a performance, production, or event.
-
D.
playType
Indicates the specific category or style of play or performance associated with an event or action.
-
E.
playedUnder
Indicates that one person participated as a player on a team or in a context where another person served as their coach or manager.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f26f50819085dfd0fbecd6394d |
completed | April 18, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:33 a.m.