Triple
T21374579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayton, Maine |
E527164
|
entity |
| Predicate | isInUSStateSubdivision |
P26304
|
FINISHED |
| Object | southern Maine |
—
|
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: southern Maine | Statement: [Dayton, Maine, isInUSStateSubdivision, southern Maine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInUSStateSubdivision Context triple: [Dayton, Maine, isInUSStateSubdivision, southern Maine]
-
A.
isInUSState
Indicates that one entity (typically a place or location) is geographically located within the boundaries of a specific U.S. state.
-
B.
hasStateSubdivisionName
Indicates that an entity has a specific name for one of its internal state-level subdivisions.
-
C.
isInCountySubdivision
chosen
Indicates that one entity (typically a place or address) is located within the boundaries of a specific county subdivision.
-
D.
isInUnitedStatesMunicipalHierarchy
Indicates that one administrative or governmental unit occupies a specific level or position within the municipal hierarchy of the United States (e.g., city, town, county, or similar local jurisdiction).
-
E.
hasNationalSubdivisionType
Indicates that an entity is associated with a specific type or category of national-level administrative subdivision (e.g., state, province, region).
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0b3666c8190a83bb32eeba24105 |
completed | April 22, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:10 p.m.