Triple
T9039521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunnel of Love Express Tour |
E216584
|
entity |
| Predicate | tourTheme |
P51013
|
FINISHED |
| Object | relationships |
—
|
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: relationships | Statement: [Tunnel of Love Express Tour, tourTheme, relationships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourTheme Context triple: [Tunnel of Love Express Tour, tourTheme, relationships]
-
A.
tourismTheme
Indicates the main subject or focus of a tourism-related activity, service, or destination (such as cultural, adventure, or eco-tourism).
-
B.
tourCategory
chosen
Indicates the classification or type of a tour (e.g., by theme, style, or purpose) that the tour belongs to.
-
C.
parkSectionTheme
Indicates that a particular section of a park is associated with a specific thematic concept or style.
-
D.
tourWith
Indicates that one entity accompanies another on a tour, sharing the same itinerary or guided experience.
-
E.
tourismFeature
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6ac46f4881909882403bb81db152 |
completed | April 1, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee3597c81908919cf866ae95c24 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:09 p.m.