Triple
T15136183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inkster Public Library |
E361559
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | City of Inkster |
E1140790
|
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: City of Inkster | Statement: [Inkster Public Library, operatedBy, City of Inkster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Inkster Context triple: [Inkster Public Library, operatedBy, City of Inkster]
-
A.
City of Inkster
chosen
The City of Inkster is a small municipality in Wayne County, Michigan, forming part of the Detroit metropolitan area.
-
B.
Erindale
Erindale is a residential neighbourhood in the city of Mississauga, Ontario, known for its parks, schools, and proximity to the Credit River.
-
C.
City of Douglas
The City of Douglas is a small lakeside community in Allegan County, Michigan, known for its proximity to Saugatuck and its arts, tourism, and Lake Michigan shoreline.
-
D.
City of Seat Pleasant
City of Seat Pleasant is a small suburban municipality in Prince George’s County, Maryland, located just outside Washington, D.C.
-
E.
Parkdale
Parkdale is a historic west-end Toronto neighbourhood known for its diverse community, Victorian-era homes, and proximity to the waterfront.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b3f6f48190b1ed7c7b28feb7a6 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec88096f081908897fd1c5362c274 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:07 a.m.