Triple
T437569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capitol Visitor Center |
E10042
|
entity |
| Predicate | ticketPolicy |
P3383
|
FINISHED |
| Object | free timed-entry passes required for tours |
—
|
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: free timed-entry passes required for tours | Statement: [Capitol Visitor Center, ticketPolicy, free timed-entry passes required for tours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ticketPolicy Context triple: [Capitol Visitor Center, ticketPolicy, free timed-entry passes required for tours]
-
A.
seatSelectionPolicy
Indicates the rules or constraints governing how seats are chosen or assigned in a given context.
-
B.
reservationPolicy
Indicates the rules or conditions governing how reservations are made, modified, or canceled between parties.
-
C.
ticketingCompatibleWith
Indicates that two systems, services, or components can interoperate or be used together within the same ticketing or reservation workflow without conflict.
-
D.
hasTicketing
chosen
Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
-
E.
bookingOption
Indicates a selectable arrangement or choice available for making a booking, such as a specific time, package, or set of conditions under which a reservation can be made.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef26bb78819089b3b5dac0330619 |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2eddb98e081909efcf9f0a955a908 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.