Triple
T3199460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garfield Plantation, Maine |
E67013
|
entity |
| Predicate | isInNewEngland |
P45268
|
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: [Garfield Plantation, Maine, isInNewEngland, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInNewEngland Context triple: [Garfield Plantation, Maine, isInNewEngland, true]
-
A.
isNewEnglandTown
chosen
Indicates that the subject is a town located within the New England region.
-
B.
isInUSState
Indicates that one entity (typically a place or location) is geographically located within the boundaries of a specific U.S. state.
-
C.
hasNewEnglandTownForm
Indicates that an entity possesses the characteristic municipal structure or governance pattern associated with a traditional New England town.
-
D.
rankByPopulationInNewEngland
Indicates the relative ordering of entities based on their population size within the New England region.
-
E.
isInProvince
Indicates that one entity (typically a place or city) is located within the administrative boundaries of a specified province.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada9ad4b1c8190bc6ad0f025f238c8 |
completed | March 8, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69ad9e05e4f48190adbe4366cdba2349 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.