Triple
T20963083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RK Metaloplastika Šabac |
E516297
|
entity |
| Predicate | initialismMeaning |
P42398
|
FINISHED |
| Object | Rukometni klub |
—
|
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: Rukometni klub | Statement: [RK Metaloplastika Šabac, initialismMeaning, Rukometni klub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialismMeaning Context triple: [RK Metaloplastika Šabac, initialismMeaning, Rukometni klub]
-
A.
acronymExpansion
chosen
Indicates that one term is an acronym whose letters stand for the words in another, longer expression.
-
B.
CISMeaning
Indicates that one concept, term, or symbol conveys, expresses, or stands for a particular meaning or interpretation in a given context.
-
C.
abbreviationOrShortForm
Indicates that one term is an abbreviation or shortened form of another term.
-
D.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
-
E.
lettersMeaning
Indicates that a set of letters or characters represents, signifies, or conveys a particular meaning or message.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb710d6c8190a2daacaad3b22683 |
completed | April 21, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:32 p.m.