Triple
T25370966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitry-sur-Seine |
E632928
|
entity |
| Predicate | suburbanType |
P47577
|
FINISHED |
| Object | inner-ring suburb of Paris |
—
|
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: inner-ring suburb of Paris | Statement: [Vitry-sur-Seine, suburbanType, inner-ring suburb of Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suburbanType Context triple: [Vitry-sur-Seine, suburbanType, inner-ring suburb of Paris]
-
A.
suburb
chosen
Indicates that one place is a residential district or outlying area that is part of or adjacent to a larger city or town.
-
B.
isSuburbanArea
Indicates that a location is characterized as a suburban area, typically lying between urban and rural regions and exhibiting suburban development patterns.
-
C.
suburbanBelt
Indicates that one area forms a suburban belt or ring surrounding another, typically as a zone of residential or peripheral development around a core urban center.
-
D.
isSuburbanCommunity
Indicates that a community is located in a suburban area, typically characterized by residential neighborhoods situated between urban centers and rural regions.
-
E.
isSuburbanFocused
Indicates a focus, orientation, or specialization toward suburban areas, communities, or contexts.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4a11323e08190a8ec4687f8fefe7f |
completed | May 1, 2026, 12:48 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:38 p.m.