Triple
T4362859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The King’s Life Guard |
E98700
|
entity |
| Predicate | publicAttraction |
P7335
|
FINISHED |
| Object | tourist spectacle in central London |
—
|
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: tourist spectacle in central London | Statement: [The King’s Life Guard, publicAttraction, tourist spectacle in central London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicAttraction Context triple: [The King’s Life Guard, publicAttraction, tourist spectacle in central London]
-
A.
relatedAttraction
Indicates that one attraction is associated with or connected to another attraction in some relevant way.
-
B.
isMajorAttractionFor
Indicates that something serves as a primary or highly significant draw or point of interest for a particular audience, group, or location.
-
C.
attractionType
Indicates the specific kind or category of attraction that characterizes the relationship between entities.
-
D.
touristAttractionIn
chosen
Indicates that a place functions as a tourist attraction located within a specified geographic area or entity.
-
E.
recordAttraction
Indicates that an instance of an attraction (e.g., interest or appeal) is documented or logged as a record in relation to another entity.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e5ee308190a9271e73689b4a2b |
completed | March 12, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:16 p.m.