Triple
T342450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Course at St Andrews |
E6864
|
entity |
| Predicate | bookingSystem |
P6095
|
FINISHED |
| Object | ballot (daily tee‑time lottery) |
—
|
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: ballot (daily tee‑time lottery) | Statement: [Old Course at St Andrews, bookingSystem, ballot (daily tee‑time lottery)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookingSystem Context triple: [Old Course at St Andrews, bookingSystem, ballot (daily tee‑time lottery)]
-
A.
reservationSystem
chosen
Indicates a system or process that manages the creation, modification, and tracking of reservations or bookings between parties.
-
B.
modernReservation
Indicates that an entity is a contemporary or currently active reservation associated with another entity (such as a group, person, or place).
-
C.
containsReservation
Indicates that one entity includes or holds a reservation associated with another entity.
-
D.
venue
Indicates the place or location where an event, activity, or interaction takes place.
-
E.
appointmentBy
Indicates that one entity is appointed or designated to a role, position, or task by another entity.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eafef8c88190a5932eb2c6ac4a5d |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e95197fc8190820e8ebd0d7d27fa |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.