Triple
T28379906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MPI Adventure |
E718861
|
entity |
| Predicate | accommodationCapacity |
P160198
|
FINISHED |
| Object | 112 persons |
—
|
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: 112 persons | Statement: [MPI Adventure, accommodationCapacity, 112 persons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accommodationCapacity Context triple: [MPI Adventure, accommodationCapacity, 112 persons]
-
A.
sleepingCapacity
chosen
Indicates the maximum number of people or occupants that can sleep in or be accommodated for sleeping by something.
-
B.
typicalHomeCapacity
Indicates the usual or standard number of occupants that a home is designed or expected to accommodate.
-
C.
roomCapacity
Indicates the maximum number of people or occupants that a room is designed or allowed to hold.
-
D.
seatingCapacity
Indicates the maximum number of people that something (typically a venue or vehicle) is designed or allowed to seat.
-
E.
sleepingAccommodation
Indicates that one entity serves as a place or facility where another entity can sleep or stay overnight.
- 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64e37f7fc819083809149b6661e3c |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 1:05 a.m.