Triple
T11747962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts municipalities |
E279332
|
entity |
| Predicate | primaryUnitOf |
P26710
|
FINISHED |
| Object | local government in Massachusetts |
—
|
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: local government in Massachusetts | Statement: [Massachusetts municipalities, primaryUnitOf, local government in Massachusetts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryUnitOf Context triple: [Massachusetts municipalities, primaryUnitOf, local government in Massachusetts]
-
A.
primaryUnit
chosen
Indicates that one entity serves as the main or principal unit associated with another entity, typically among multiple possible units.
-
B.
basicUnitOf
Indicates that one entity serves as the fundamental or smallest constituent unit from which the other entity is composed or defined.
-
C.
basedUnit
Indicates that one unit is defined in terms of, or derived from, another more fundamental unit.
-
D.
principalUnitUntil
Indicates that one entity serves as the primary or principal unit for another entity up to, but not beyond, a specified point in time.
-
E.
designationUnit
Indicates that one entity serves as the unit or standard of measure used to designate, label, or quantify another entity.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50763a081908597da118bd0a64e |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.