Triple
T12534042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Englewood |
E299640
|
entity |
| Predicate | hasRevitalizationStrategy |
P90771
|
FINISHED |
| Object | housing rehabilitation |
—
|
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: housing rehabilitation | Statement: [West Englewood, hasRevitalizationStrategy, housing rehabilitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRevitalizationStrategy Context triple: [West Englewood, hasRevitalizationStrategy, housing rehabilitation]
-
A.
hasRevitalizationMovement
Indicates that there exists an organized effort or movement aimed at renewing, restoring, or reinvigorating the subject entity.
-
B.
isRevitalizationOf
Indicates that one entity is a renewed, restored, or modernized version of another, bringing it back into active or improved condition.
-
C.
hasRevivalsIn
Indicates that something has been brought back, renewed, or reintroduced in specific times, places, or contexts.
-
D.
isFrequentlyRevived
Indicates that an entity is brought back, restored, or reintroduced many times over a period.
-
E.
methodOfRejuvenation
chosen
Indicates a process or technique used to restore youthfulness, vitality, or an earlier optimal state to something or someone.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.