Triple
T5748549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Addition |
E126792
|
entity |
| Predicate | urbanRenewalPeak |
P52998
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Western Addition, urbanRenewalPeak, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanRenewalPeak Context triple: [Western Addition, urbanRenewalPeak, 1950s]
-
A.
redevelopmentPeaked
chosen
Indicates that the intensity or extent of redevelopment activity has reached its highest point within a given period or context.
-
B.
urbanRedevelopmentArea
Indicates that a location is designated for concentrated urban renewal activities such as redevelopment, revitalization, or land-use transformation.
-
C.
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.
-
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.
urbanAdaptation
Indicates how well an entity adjusts its behavior, structure, or function to survive and operate effectively in urban environments.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:48 p.m.