Triple
T35755744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alishan |
E1033440
|
entity |
| Predicate | receivesTouristsFrom |
P21892
|
FINISHED |
| Object | Taiwan |
—
|
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: Taiwan | Statement: [Alishan, receivesTouristsFrom, Taiwan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivesTouristsFrom Context triple: [Alishan, receivesTouristsFrom, Taiwan]
-
A.
hasTouristVisits
Indicates that one entity experiences or records visits from tourists to another entity.
-
B.
touristGatewayTo
Indicates a relationship where one place serves as the primary access point or entry hub for tourists visiting another place.
-
C.
touristAccess
Indicates that a place or resource is available for use or visitation by tourists.
-
D.
tourismFrom
chosen
Indicates that tourists or visitor activity originates from one place and is directed toward another location.
-
E.
connectsToTouristRegion
Indicates that one entity has a direct linkage or association to a tourist region, such as through location, access, or service provision.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:06 p.m.