Triple
T24040959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bow Lake |
E595373
|
entity |
| Predicate | hasLodgeNearby |
P123938
|
FINISHED |
| Object | Num-Ti-Jah Lodge |
—
|
NE NERFINISHED |
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: Num-Ti-Jah Lodge | Statement: [Bow Lake, hasLodgeNearby, Num-Ti-Jah Lodge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLodgeNearby Context triple: [Bow Lake, hasLodgeNearby, Num-Ti-Jah Lodge]
-
A.
hasNearbyLodge
chosen
Indicates that one entity is located close to or in the vicinity of a lodge associated with another entity.
-
B.
hasNearbyHotel
Indicates that one entity is located close to or within a short distance of a hotel.
-
C.
hasDayLodge
Indicates that a location or facility includes or is associated with a day-use lodge building or area.
-
D.
hasLodgeType
Indicates that an entity is associated with or classified by a particular type or category of lodge.
-
E.
lodgesWith
Indicates that one entity stays, resides, or is temporarily accommodated together with another entity in the same lodging.
- 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d8b7248190a4e7f152d6bfc2bc |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:57 p.m.