Triple
T7564636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odéon |
E178880
|
entity |
| Predicate | culturalScene |
P77637
|
FINISHED |
| Object | student life |
—
|
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: student life | Statement: [Odéon, culturalScene, student life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalScene Context triple: [Odéon, culturalScene, student life]
-
A.
culturalSector
Indicates a relationship where something is part of, associated with, or operates within a specific cultural sector or domain.
-
B.
culturalSphere
Indicates that one entity belongs to, is influenced by, or participates in the cultural domain, tradition, or milieu defined by another entity.
-
C.
culturalCategory
Indicates that one entity classifies or groups another entity according to a particular culture, tradition, or culturally defined type.
-
D.
culturalDistrict
Indicates that a location is officially recognized or functions as a designated cultural district, typically characterized by a concentration of cultural, artistic, or heritage-related activities.
-
E.
culturalMovement
Indicates that an entity is associated with, participates in, or belongs to a particular cultural movement or trend.
- F. None of above. chosen
Provenance (4 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8fc6a408190abf363a29359e764 |
completed | March 27, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f59517648190ac0a9e9cba045dd5 |
completed | March 27, 2026, 9:24 p.m. |
Created at: March 27, 2026, 3:50 p.m.