Triple
T2942581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Part-Dieu |
E79421
|
entity |
| Predicate | urbanDevelopmentStarted |
P42665
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [La Part-Dieu, urbanDevelopmentStarted, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanDevelopmentStarted Context triple: [La Part-Dieu, urbanDevelopmentStarted, 1960s]
-
A.
urbanDevelopment
Indicates the process or activities through which urban areas are planned, expanded, or transformed, including changes to infrastructure, land use, and the built environment.
-
B.
urbanDevelopmentType
Indicates the specific category or nature of urban development associated with or applied to an entity (e.g., residential, commercial, mixed-use).
-
C.
urbanDevelopmentEra
Indicates the historical period or phase during which significant urban development or transformation of a place occurred.
-
D.
urbanSuccessor
Indicates that one urban area directly follows or replaces another in a temporal or developmental sequence, serving as its successor in an urban context.
-
E.
redevelopmentStartDate
chosen
Indicates the date on which a redevelopment project or process officially begins.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9871fc908190ad90e5b01b476b3f |
completed | March 8, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69ad96088fb481909976b436c2b729d9 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:56 p.m.