Triple
T29844930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wigwam Village Motel #6 |
E757902
|
entity |
| Predicate | hasGuestRoomType |
P53265
|
FINISHED |
| Object | standalone teepee cabins |
—
|
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: standalone teepee cabins | Statement: [Wigwam Village Motel #6, hasGuestRoomType, standalone teepee cabins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGuestRoomType Context triple: [Wigwam Village Motel #6, hasGuestRoomType, standalone teepee cabins]
-
A.
hasGuestHouse
Indicates that one entity owns, includes, or is associated with a guest house in relation to another entity.
-
B.
hasSingleRooms
Indicates that an entity offers or includes individual rooms intended for single occupancy.
-
C.
hasHotelType
chosen
Indicates that a hotel is classified as belonging to a specific type or category (e.g., resort, boutique, hostel).
-
D.
hasAccommodation
Indicates that an entity provides, owns, or is associated with a place for someone to stay or live.
-
E.
hasBedType
Indicates that an entity (such as a room or accommodation) is associated with a specific type or configuration of bed.
- 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_69f224593f6c81908785a560fe659f58 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6760cbbcc81908cb6522f8eb38000 |
completed | May 2, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 5:41 p.m.