Triple
T38132265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enchanted Village |
E952254
|
entity |
| Predicate | hasLodgingUnit |
P181081
|
FINISHED |
| Object | woodland lodge |
—
|
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: woodland lodge | Statement: [Enchanted Village, hasLodgingUnit, woodland lodge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLodgingUnit Context triple: [Enchanted Village, hasLodgingUnit, woodland lodge]
-
A.
hasAccommodation
Indicates that an entity provides, owns, or is associated with a place for someone to stay or live.
-
B.
hasLodgeType
Indicates that an entity is associated with or classified by a particular type or category of lodge.
-
C.
hasDayLodge
Indicates that a location or facility includes or is associated with a day-use lodge building or area.
-
D.
hasNearbyLodge
Indicates that one entity is located close to or in the vicinity of a lodge associated with another entity.
-
E.
hasAccommodations
chosen
Indicates that one entity provides, contains, or offers lodging, facilities, or special arrangements for another entity.
- 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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ffc1550cb481908628e446d9b67f7b |
completed | May 9, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69ffc10a74708190ae90e2c378791f70 |
completed | May 9, 2026, 11:19 p.m. |
Created at: May 3, 2026, 4:21 p.m.