Triple
T26952307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puuc hills |
E678806
|
entity |
| Predicate | hasTourismRoute |
P17534
|
FINISHED |
| Object | Ruta Puuc |
—
|
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: Ruta Puuc | Statement: [Puuc hills, hasTourismRoute, Ruta Puuc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTourismRoute Context triple: [Puuc hills, hasTourismRoute, Ruta Puuc]
-
A.
hasTouristRoute
chosen
Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
-
B.
isMajorTourismRoute
Indicates that a route serves as a primary corridor for significant tourism-related travel and activities.
-
C.
hasTouristTrails
Indicates that an entity contains or is equipped with designated paths or routes intended for use by tourists.
-
D.
hasTourismFunction
Indicates that an entity serves a role or purpose related to tourism, such as attracting, accommodating, or providing services to tourists.
-
E.
hasTourismResource
Indicates that a place, area, or entity possesses or is associated with a tourism-related resource, attraction, or facility.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 27, 2026, 6:25 a.m.