Triple
T6681545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgian lari |
E151993
|
entity |
| Predicate | latinAbbreviation |
P43
|
FINISHED |
| Object | GEL |
—
|
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: GEL | Statement: [Georgian lari, latinAbbreviation, GEL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: latinAbbreviation Context triple: [Georgian lari, latinAbbreviation, GEL]
-
A.
eraAbbreviation
Indicates that one term is the standard shortened or abbreviated form of a named historical or chronological era.
-
B.
abbreviation
chosen
Indicates that one term is a shortened or contracted form that stands for another, longer expression.
-
C.
typeOfAbbreviation
Indicates that one term is an abbreviation of a specific type or category (e.g., acronym, initialism) of another expression.
-
D.
legalCitationAbbreviation
Indicates that one legal citation is an abbreviated or shortened form of another legal citation.
-
E.
abbreviationLength
Indicates that the relationship specifies or measures the length (number of characters) of an abbreviation associated with an 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c0aa8c5c8190a302b261f11b70cb |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0b6d00819086205b8ce30dd045 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:04 p.m.