Triple
T3035532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place Rossetti |
E82998
|
entity |
| Predicate | hasStreetLife |
P8175
|
FINISHED |
| Object | evening crowds |
—
|
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: evening crowds | Statement: [Place Rossetti, hasStreetLife, evening crowds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetLife Context triple: [Place Rossetti, hasStreetLife, evening crowds]
-
A.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
B.
hasNightlifeArea
chosen
Indicates that a place contains or is associated with an area characterized by nightlife activities such as bars, clubs, or evening entertainment venues.
-
C.
hasStreetEnvironment
Indicates that an entity is associated with or characterized by a particular type or quality of street-level surroundings or conditions.
-
D.
hasNotableStreet
Indicates that an entity is associated with a particular street that is considered notable or significant.
-
E.
hasStreetFood
Indicates that one entity offers, features, or is associated with street food 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b2bb60c8190b1721f832f2581a1 |
completed | March 8, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69ad961e2a408190afb1759132701305 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.