Triple
T26051301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yongle Bridge |
E647984
|
entity |
| Predicate | isTourismNodeFor |
P30296
|
FINISHED |
| Object | Hai River sightseeing |
—
|
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: Hai River sightseeing | Statement: [Yongle Bridge, isTourismNodeFor, Hai River sightseeing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTourismNodeFor Context triple: [Yongle Bridge, isTourismNodeFor, Hai River sightseeing]
-
A.
hasTourismFunction
Indicates that an entity serves a role or purpose related to tourism, such as attracting, accommodating, or providing services to tourists.
-
B.
hasTourismResource
Indicates that a place, area, or entity possesses or is associated with a tourism-related resource, attraction, or facility.
-
C.
hasTourismOrganization
Indicates that a place or destination is associated with a specific organization responsible for managing, promoting, or coordinating its tourism activities.
-
D.
isTouristDestination
Indicates that a place is recognized as a location people commonly visit for leisure, sightseeing, or travel.
-
E.
hasTourismHub
chosen
Indicates that a place functions as a central location or focal point for tourism-related activities, services, or attractions for another place or region.
- 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6065e26748190bac3160a91599913 |
completed | May 2, 2026, 2:12 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 22, 2026, 9:11 a.m.