Triple
T36177522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moselstraße (Frankfurt am Main) |
E1046615
|
entity |
| Predicate | hasNightActivityLevel |
P100481
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Moselstraße (Frankfurt am Main), hasNightActivityLevel, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNightActivityLevel Context triple: [Moselstraße (Frankfurt am Main), hasNightActivityLevel, high]
-
A.
nightActivityLevel
chosen
Indicates the intensity or extent of an entity’s actions or behavior occurring during nighttime hours.
-
B.
hasEveningActivity
Indicates that an entity engages in or is associated with a specific activity that takes place in the evening.
-
C.
humanActivityLevel
Indicates the degree or intensity of activity or movement performed by a human over a given period or in a given context.
-
D.
hasDayActivity
Indicates that an entity engages in or is associated with a specific activity that occurs during the daytime.
-
E.
hasTimeOfHighActivity
Indicates that an entity experiences its peak or most intense level of activity during a specified time period.
- 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_69f76e3c1b10819081fc7a807a71cf84 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.