Triple
T5228938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Committee of Correspondence |
E118059
|
entity |
| Predicate | basedInGovernmentType |
P62479
|
FINISHED |
| Object | town meeting system |
—
|
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: town meeting system | Statement: [Boston Committee of Correspondence, basedInGovernmentType, town meeting system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInGovernmentType Context triple: [Boston Committee of Correspondence, basedInGovernmentType, town meeting system]
-
A.
isPartOfGovernment
Indicates that an entity belongs to, is included within, or functions as a component of a governmental body or system.
-
B.
governmentalUnitType
Indicates the specific category or classification of a governmental unit (such as federal, state, municipal, or other administrative level) that an entity belongs to.
-
C.
locatedInGovernmentBody
Indicates that an entity is situated within, or is part of, a specific governmental body or institution.
-
D.
hasGovernmentInstitution
Indicates that a given entity possesses, hosts, or is served by a formal governmental body or institution.
-
E.
governmentBodyType
Indicates the classification or category of a governmental organization based on its structural or functional role.
- F. None of above. chosen
Provenance (4 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0093a88190aba381ba3f761408 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7aff0244819085c4799793ed0185 |
completed | March 20, 2026, 4:51 p.m. |
Created at: March 20, 2026, 1:48 p.m.