Triple
T18215346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts House district |
E436137
|
entity |
| Predicate | canBeRenumberedOrRenamed |
P92343
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Massachusetts House district, canBeRenumberedOrRenamed, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeRenumberedOrRenamed Context triple: [Massachusetts House district, canBeRenumberedOrRenamed, yes]
-
A.
canBeRenumberedTo
Indicates that one entity’s identifiers or numbering scheme can be systematically changed to match or correspond to another set of identifiers or numbering.
-
B.
canBeRenumberedFrom
Indicates that one entity’s numbering or identifier sequence is allowed to be changed starting from the numbering or identifier of another entity.
-
C.
mayBeRenumbered
chosen
Indicates that an entity’s identifier or numbering is allowed to change under certain conditions.
-
D.
canBeReorganizedBy
Indicates that one entity has the ability or authority to rearrange, restructure, or otherwise reorganize another entity.
-
E.
renamingSupportedBy
Indicates that one entity provides the capability or functionality to perform renaming operations on 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e476a6548190bda03190c5f531ad |
completed | April 19, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.