Triple
T14317258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F. Supp. |
E354988
|
entity |
| Predicate | hasSuccessorAbbreviation |
P35289
|
FINISHED |
| Object | F. Supp. 2d |
—
|
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: F. Supp. 2d | Statement: [F. Supp., hasSuccessorAbbreviation, F. Supp. 2d]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuccessorAbbreviation Context triple: [F. Supp., hasSuccessorAbbreviation, F. Supp. 2d]
-
A.
abbreviationOfSuccessor
chosen
Indicates that one entity is an abbreviation or shortened form of another entity that is the successor in some sequence or versioning.
-
B.
shortNameOfSuccessor
Indicates that one entity is the abbreviated or short name used to refer to its successor entity.
-
C.
hasModernSuccessor
Indicates that an entity is followed or replaced by another entity that serves as its modern equivalent or continuation.
-
D.
hasAbbreviationPattern
Indicates that there is a systematic abbreviation relationship between two strings, where one follows a recognizable pattern derived from the other.
-
E.
hasAbbreviationStatus
Indicates that an entity has a particular status or condition regarding its abbreviation (e.g., whether it is abbreviated, how, or to what extent).
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8838e45c819080ee69dd39e3bd43 |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.