Triple
T3267567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago community areas |
E68562
|
entity |
| Predicate | includeExample |
P1259
|
FINISHED |
| Object | Englewood |
E252595
|
NE 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 | Statement: [Chicago community areas, includeExample, Englewood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Englewood Context triple: [Chicago community areas, includeExample, Englewood]
-
A.
Englewood
chosen
Englewood is a neighborhood on the South Side of Chicago, Illinois, historically known for its commercial hub and later for significant economic and social challenges.
-
B.
Englewood, Colorado
Englewood, Colorado is a suburban city in the Denver metropolitan area known for its mix of residential neighborhoods, commercial centers, and corporate offices.
-
C.
Littleton
Littleton is a suburban town in Middlesex County, Massachusetts, located northwest of Boston.
-
D.
Littleton
Littleton is a village in Surrey, England, known for its proximity to Shepperton and its largely residential, semi-rural character.
-
E.
Lakewood
Lakewood is a suburban city in Pierce County, Washington, located south of Tacoma within the greater Seattle metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafcf9c6c819092f9c618b778b46d |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3c4323c819087a7c6e6c8a7b030 |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:09 p.m.