Triple
T35879146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyndon Township |
E1037458
|
entity |
| Predicate | hasLocalGovernmentIn |
P3379
|
FINISHED |
| Object | Washtenaw County, Michigan |
—
|
NE NERFINISHED |
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: Washtenaw County, Michigan | Statement: [Lyndon Township, hasLocalGovernmentIn, Washtenaw County, Michigan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalGovernmentIn Context triple: [Lyndon Township, hasLocalGovernmentIn, Washtenaw County, Michigan]
-
A.
hasLocalGovernmentSystem
Indicates that an entity possesses or operates under a particular system or structure of local government.
-
B.
hasLocalGovernmentBody
chosen
Indicates that an entity is administered or overseen by a specific local government authority or governing body.
-
C.
hasLocalSelfGovernment
Indicates that an entity possesses its own local governing authority with decision-making powers over local affairs.
-
D.
hasLocalGovernmentJurisdictionOver
Indicates that one governmental body possesses official authority to administer, regulate, and make binding decisions over a specific geographic area or population.
-
E.
hasLocalGovernmentOffice
Indicates that a local government office is present or established within a specified location or jurisdiction.
- 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff409ff5548190849c2d50e99bd807 |
completed | May 9, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69ff401a5e188190a72f945e910b4a6c |
completed | May 9, 2026, 2:09 p.m. |
Created at: May 3, 2026, 4:06 p.m.