Triple
T7734979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thamel |
E175355
|
entity |
| Predicate | hasAccommodationCategory |
P53265
|
FINISHED |
| Object | budget hotels |
—
|
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: budget hotels | Statement: [Thamel, hasAccommodationCategory, budget hotels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccommodationCategory Context triple: [Thamel, hasAccommodationCategory, budget hotels]
-
A.
hasAccommodation
Indicates that an entity provides, owns, or is associated with a place for someone to stay or live.
-
B.
hotelCategory
Indicates the classification or rating level assigned to a hotel (e.g., star rating or category tier).
-
C.
reservationCategory
Indicates the classification or type assigned to a reservation (such as its purpose, priority, or usage group) within a system.
-
D.
hasHotelType
chosen
Indicates that a hotel is classified as belonging to a specific type or category (e.g., resort, boutique, hostel).
-
E.
hasCheckInCategory
Indicates that an entity is associated with a specific category or type of check-in event.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:06 p.m.