Triple
T23393793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connecticut Department of Transportation |
E594091
|
entity |
| Predicate | abbreviationUsedBy |
P152086
|
FINISHED |
| Object | State of Connecticut |
—
|
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: State of Connecticut | Statement: [Connecticut Department of Transportation, abbreviationUsedBy, State of Connecticut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abbreviationUsedBy Context triple: [Connecticut Department of Transportation, abbreviationUsedBy, State of Connecticut]
-
A.
abbreviationUsedFor
Indicates that a particular shortened form or acronym is used to represent or stand in for a longer term, name, or expression.
-
B.
abbreviationOrShortForm
Indicates that one term is an abbreviation or shortened form of another term.
-
C.
abbreviation
Indicates that one term is a shortened or contracted form that stands for another, longer expression.
-
D.
abbreviationCoined
Indicates that a specific abbreviation was first created, introduced, or established in association with a particular term, phrase, or context.
-
E.
alternativeAbbreviation
Indicates that one term serves as an alternative shortened form or acronym for another term.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49eb3b881909da7f1c47c67c81f |
completed | April 29, 2026, 6:26 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:36 p.m.