Triple
T3567381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Jones Street |
E75481
|
entity |
| Predicate | hasSettingMood |
P7863
|
FINISHED |
| Object | bleak urban atmosphere |
—
|
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: bleak urban atmosphere | Statement: [Great Jones Street, hasSettingMood, bleak urban atmosphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSettingMood Context triple: [Great Jones Street, hasSettingMood, bleak urban atmosphere]
-
A.
hasMood
chosen
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
-
B.
hasMoodCategory
Indicates that an entity is associated with a particular mood classification or emotional category.
-
C.
hasSetting
Indicates that an entity takes place, occurs, or exists within a particular environment, context, or location.
-
D.
hasMusicalSettingsBy
Indicates that a work has been set to music or musically arranged by a specified creator or composer.
-
E.
hasHabit
Indicates that an entity regularly performs, practices, or exhibits a particular behavior or routine.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0ab51d881908f004fae47ab09d9 |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb834779081908468e182d5f6cf02 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.