Triple
T3677873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sears Corners |
E78038
|
entity |
| Predicate | hasNoIncorporatedMunicipalGovernment |
P27503
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sears Corners, hasNoIncorporatedMunicipalGovernment, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoIncorporatedMunicipalGovernment Context triple: [Sears Corners, hasNoIncorporatedMunicipalGovernment, true]
-
A.
hasNoMunicipalGovernment
chosen
Indicates that the entity lacks its own municipal governing body or local city/town government.
-
B.
hasMunicipalGovernment
Indicates that an entity is administered or governed by a municipal-level governmental authority.
-
C.
notIncorporatedAs
Indicates that an entity has not been legally formed, registered, or recognized as a corporation or similar incorporated organization.
-
D.
hasUnincorporatedCommunity
Indicates that one administrative or geographic entity contains or is associated with an unincorporated community within its boundaries.
-
E.
isMunicipal
Indicates that something belongs to, is administered by, or is characteristic of a municipality or local city government.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc46599188190a046eddb0d85c483 |
completed | March 8, 2026, 6:48 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.