Triple
T34425659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rondo neighborhood |
E883659
|
entity |
| Predicate | hasActivism |
P19309
|
FINISHED |
| Object | efforts to reconnect the neighborhood across I-94 |
—
|
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: efforts to reconnect the neighborhood across I-94 | Statement: [Rondo neighborhood, hasActivism, efforts to reconnect the neighborhood across I-94]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasActivism Context triple: [Rondo neighborhood, hasActivism, efforts to reconnect the neighborhood across I-94]
-
A.
hasPoliticalActivityIn
Indicates that an entity engages in or is associated with political activities within a specified location or jurisdiction.
-
B.
areaOfActivism
Indicates the specific social, political, or environmental cause or issue that an entity actively advocates for or works to change.
-
C.
placeOfActivism
chosen
Indicates the location or geographic area where an individual or group engages in activism or advocacy activities.
-
D.
mannerOfActivism
Indicates the specific way or method by which an entity engages in activism.
-
E.
hasNGOActivity
Indicates that an entity engages in, is involved with, or carries out activities associated with a non-governmental organization (NGO).
- 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_69f349c3dd2c819092cc9e64809f4a42 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 1, 2026, 2 a.m.