Triple
T11845630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MI |
E281766
|
entity |
| Predicate | replacedOlderAbbreviation |
P29210
|
FINISHED |
| Object | Mich. |
—
|
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: Mich. | Statement: [MI, replacedOlderAbbreviation, Mich.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedOlderAbbreviation Context triple: [MI, replacedOlderAbbreviation, Mich.]
-
A.
previousAbbreviation
chosen
Indicates that one abbreviation was used earlier or previously in place of another for the same entity or term.
-
B.
abbreviationOfRevision
Indicates that one revision serves as an abbreviated or shortened form of another, more complete revision.
-
C.
establishesAbbreviation
Indicates that one entity defines or introduces an abbreviated form that stands for another entity.
-
D.
standardizesAbbreviation
Indicates that one entity defines or enforces the official abbreviated form of another entity.
-
E.
replacedLongForm
Indicates that one entity has been superseded or substituted by another entity in a more extended or detailed form.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65b5ff08190bb58361f6a6acdca |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.