Triple
T2639744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Englewood, Chicago |
E62834
|
entity |
| Predicate | hasRevitalizationProject |
P4089
|
FINISHED |
| Object | Englewood Square retail development |
—
|
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: Englewood Square retail development | Statement: [Englewood, Chicago, hasRevitalizationProject, Englewood Square retail development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRevitalizationProject Context triple: [Englewood, Chicago, hasRevitalizationProject, Englewood Square retail development]
-
A.
revitalizationEffort
chosen
Indicates efforts or actions undertaken to restore, renew, or improve the condition, vitality, or functionality of something.
-
B.
hasRestorationActivities
Indicates that an entity carries out, is involved in, or is associated with actions aimed at restoring or rehabilitating another entity or resource.
-
C.
hasRenovation
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
D.
hasProject
Indicates that an entity is associated with or responsible for a particular project.
-
E.
hasReconstructionWork
Indicates that an entity is undergoing, has undergone, or is associated with reconstruction or restoration work.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8fafad08190939b08558fea6abd |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd812849881908f956845a80e0205 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.