Triple
T27895467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bowdoin Street |
E705474
|
entity |
| Predicate | hasNearbyGovernmentFunction |
P12057
|
FINISHED |
| Object | Massachusetts state government |
—
|
NE NERFINISHED |
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: Massachusetts state government | Statement: [Bowdoin Street, hasNearbyGovernmentFunction, Massachusetts state government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyGovernmentFunction Context triple: [Bowdoin Street, hasNearbyGovernmentFunction, Massachusetts state government]
-
A.
governingBodyNearby
chosen
Indicates that a governing body is located in close physical proximity to the referenced entity or area.
-
B.
hasLocalGovernmentFunctions
Indicates that an entity possesses and exercises official administrative or governmental powers within a specific local jurisdiction.
-
C.
hasMunicipalitySeatNearby
Indicates that the municipality’s administrative seat is located in close proximity to the referenced place or entity.
-
D.
nearbyPoliticalEntity
Indicates that one political entity is geographically close to another political entity, without necessarily sharing a border.
-
E.
hasLocalGovernmentOffice
Indicates that a local government office is present or established within a specified location or jurisdiction.
- 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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: April 27, 2026, 6:38 p.m.