Triple
T268366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Bounty Restaurant |
E5781
|
entity |
| Predicate | hasReservationPolicy |
P9630
|
FINISHED |
| Object | reservations recommended |
—
|
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: reservations recommended | Statement: [American Bounty Restaurant, hasReservationPolicy, reservations recommended]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReservationPolicy Context triple: [American Bounty Restaurant, hasReservationPolicy, reservations recommended]
-
A.
containsReservation
Indicates that one entity includes or holds a reservation associated with another entity.
-
B.
hasResortHotel
Indicates that one entity owns, includes, or is associated with a resort hotel as part of its facilities or offerings.
-
C.
modernReservation
Indicates that an entity is a contemporary or currently active reservation associated with another entity (such as a group, person, or place).
-
D.
reservationSystem
Indicates a system or process that manages the creation, modification, and tracking of reservations or bookings between parties.
-
E.
hasReserveFunction
Indicates that an entity serves as a backup or secondary option that can perform the same function if the primary one is unavailable or fails.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dae4a0c8190a66cf6ed3889851c |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b70d99c819085d8381a313a2a34 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25d6ec9688190b2ba027756b57d25 |
completed | Feb. 28, 2026, 3:13 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.