Triple
T3232310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timberline Lodge |
E67766
|
entity |
| Predicate | hasNumberOfGuestRooms |
P2402
|
FINISHED |
| Object | approximately 70 |
—
|
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: approximately 70 | Statement: [Timberline Lodge, hasNumberOfGuestRooms, approximately 70]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfGuestRooms Context triple: [Timberline Lodge, hasNumberOfGuestRooms, approximately 70]
-
A.
numberOfBedrooms
Indicates the quantity of bedrooms associated with a given property or dwelling.
-
B.
numberOfHotelRooms
chosen
Indicates the total count of rooms that a given hotel has.
-
C.
bedCount
Indicates the number of beds associated with an entity, such as a room, facility, or accommodation.
-
D.
hasPeriodRooms
Indicates that an entity contains rooms that are decorated or preserved to reflect specific historical periods.
-
E.
numberOfBathrooms
Indicates the total count of bathrooms associated with an entity (such as a property or unit).
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaedb718c8190aae12f763033713a |
completed | March 8, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0dc2248190a38c40f4e06cd41c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.