Triple
T29272264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jomfru Ane Gade |
E742150
|
entity |
| Predicate | hasTypicalVisitorType |
P91146
|
FINISHED |
| Object | young adults |
—
|
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: young adults | Statement: [Jomfru Ane Gade, hasTypicalVisitorType, young adults]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalVisitorType Context triple: [Jomfru Ane Gade, hasTypicalVisitorType, young adults]
-
A.
hasVisitorType
Indicates the type or category of visitor associated with an entity (e.g., guest, customer, tourist, patient).
-
B.
hasVisitationType
Indicates the specific category or mode of a visit or visitation associated with an entity or event.
-
C.
hasTypeOfVisitorExperience
Indicates that an entity is associated with a particular category or kind of visitor experience it provides or involves.
-
D.
typicalVisitType
chosen
Indicates the usual or most common category of visit associated with an entity or event.
-
E.
hasVisitorCharacteristic
Indicates that a visitor possesses or exhibits a particular characteristic, attribute, or quality.
- 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_69f0912124d48190a046642b69407f4c |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
Created at: April 28, 2026, 12:48 p.m.