Triple
T25398813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mega Millions |
E636364
|
entity |
| Predicate | ticketSalesArea |
P161455
|
FINISHED |
| Object | participating U.S. states |
—
|
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: participating U.S. states | Statement: [Mega Millions, ticketSalesArea, participating U.S. states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ticketSalesArea Context triple: [Mega Millions, ticketSalesArea, participating U.S. states]
-
A.
ticketZoneSystem
Indicates that there is a specific fare or access zoning system governing how tickets are defined, priced, or validated within a transport or event context.
-
B.
ticketingZoneType
Indicates the type or category of ticketing zone that applies within a given area or context.
-
C.
ticketingContext
Indicates the situational or operational context in which a ticket (such as a support, event, or issue ticket) is created, managed, or applied.
-
D.
ticketingLocation
Indicates the place or point where tickets are issued, sold, or otherwise processed for an event, service, or journey.
-
E.
ticketingScope
Indicates the range or domain within which ticketing actions (such as creation, assignment, or management of tickets) are valid or applicable.
- 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_69e75db263888190b77fff9e2827b9a2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f613bc641c819084343cc78d080640 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f613502d808190b89927e5e734b43a |
completed | May 2, 2026, 3:08 p.m. |
Created at: April 21, 2026, 1:50 p.m.