Triple
T392798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk County, Massachusetts |
E8916
|
entity |
| Predicate | hasMunicipalityType |
P10835
|
FINISHED |
| Object | city |
—
|
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: city | Statement: [Suffolk County, Massachusetts, hasMunicipalityType, city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalityType Context triple: [Suffolk County, Massachusetts, hasMunicipalityType, city]
-
A.
hasMunicipalityCode
Indicates that an entity is associated with a specific official municipality code used for administrative or identification purposes.
-
B.
hasMunicipalGovernment
Indicates that an entity is administered or governed by a municipal-level governmental authority.
-
C.
typeOfMunicipalRelationship
Indicates a formal type or category of administrative or cooperative relationship that exists between municipalities.
-
D.
specialMunicipality
Indicates that an entity is designated as a special municipality, typically having a distinct administrative or legal status compared to regular municipalities.
-
E.
municipality
Indicates that one entity is a municipality (a local administrative unit) in which the other entity is located or which it governs.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec7637c08190b695ec640edbf6c2 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96a8ca48190abbd8de9b02c115c |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ea2dc3088190a2aeb4496aff3582 |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.