Triple
T26072204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vrijthof |
E657579
|
entity |
| Predicate | isFamousForTourists |
P95395
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Vrijthof, isFamousForTourists, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFamousForTourists Context triple: [Vrijthof, isFamousForTourists, yes]
-
A.
alsoAttractsTouristsIn
Indicates that a place, in addition to another, draws or appeals to tourists within a specified location or context.
-
B.
inscriptionFamousFor
Indicates that an inscription is widely recognized or notable specifically because of the referenced feature, event, content, or characteristic.
-
C.
isInTownKnownFor
Indicates that one entity is located in a town that is notable or distinguished for the other entity.
-
D.
subjectOfTour
chosen
Indicates that an entity serves as the main focus, destination, or theme of a tour.
-
E.
reputedToBeVisitedBy
Indicates that an entity is commonly believed or reported to be visited by another entity, without necessarily confirming that the visits actually occur.
- 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_69ee5bbe539081909efc7f9dd7c1b53c |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f606cb4418819089f583e8d030b1c3 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:30 p.m.