Triple
T27005977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minor League Baseball games |
E680240
|
entity |
| Predicate | averageTicketPrice |
P164306
|
FINISHED |
| Object | lower than Major League Baseball games |
—
|
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: lower than Major League Baseball games | Statement: [Minor League Baseball games, averageTicketPrice, lower than Major League Baseball games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageTicketPrice Context triple: [Minor League Baseball games, averageTicketPrice, lower than Major League Baseball games]
-
A.
admissionFee
Indicates the monetary charge required for entry or participation in a place, event, or activity.
-
B.
ticketPricingLevel
Indicates the pricing tier or category assigned to a ticket within a defined pricing structure.
-
C.
ticketPricePlanned
Indicates that a ticket has an intended or scheduled price set in advance, as opposed to its actual or current selling price.
-
D.
ticketPricePolicy
Indicates the pricing rules or conditions that determine how much a ticket costs in a given context.
-
E.
boxOfficeAdmissions
Indicates the number of tickets sold for a film or event, reflecting how many people attended via paid admissions.
- 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_69eeeb53939c8190bd431f32b060f01f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f644de4a84819087ddb84757fc4585 |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f643e818d481908fc66bc91bd25d77 |
completed | May 2, 2026, 6:35 p.m. |
Created at: April 27, 2026, 7 a.m.