Triple
T4857588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinuy-an Falls |
E108573
|
entity |
| Predicate | hasCottagesForRent |
P59979
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tinuy-an Falls, hasCottagesForRent, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCottagesForRent Context triple: [Tinuy-an Falls, hasCottagesForRent, yes]
-
A.
invitesToCountryCottage
Indicates that one entity extends an invitation to another entity to visit or stay at a country cottage.
-
B.
hasGuestHouse
Indicates that one entity owns, includes, or is associated with a guest house in relation to another entity.
-
C.
hasMountainHutsNearby
Indicates that a location or geographic feature has one or more mountain huts situated in its nearby surroundings.
-
D.
hasAccommodation
Indicates that an entity provides, owns, or is associated with a place for someone to stay or live.
-
E.
hasCabins
Indicates that an entity possesses or includes one or more cabins as part of its structure or facilities.
- F. None of above. chosen
Provenance (4 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2557388190a2d15571bacd24f3 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dda5e808190a26ec85e4499d8e4 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:26 p.m.