Triple
T1943474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timo |
E42006
|
entity |
| Predicate | hasAbbreviationOf |
P8075
|
FINISHED |
| Object | Timothy in some languages |
—
|
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: Timothy in some languages | Statement: [Timo, hasAbbreviationOf, Timothy in some languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAbbreviationOf Context triple: [Timo, hasAbbreviationOf, Timothy in some languages]
-
A.
hasNameAbbreviation
chosen
Indicates that an entity is associated with a shortened or abbreviated form of its full name.
-
B.
isCommonAbbreviation
Indicates that one term is a widely used shortened or abbreviated form of another term.
-
C.
notAbbreviationOf
Indicates that one term is explicitly asserted not to be an abbreviation or shortened form of another term.
-
D.
establishesAbbreviation
Indicates that one entity defines or introduces an abbreviated form that stands for another entity.
-
E.
hasAbbreviationForRegion
Indicates that one entity is used as the standard abbreviated form of the name of a particular region.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb32ebae881908f7541301f0198ae |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff25a588190bb4cbc8df9fc6d64 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.