Triple
T34939629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | grb Republike Hrvatske |
E1007678
|
entity |
| Predicate | numberOfFields |
P36398
|
FINISHED |
| Object | 25 |
—
|
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: 25 | Statement: [grb Republike Hrvatske, numberOfFields, 25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFields Context triple: [grb Republike Hrvatske, numberOfFields, 25]
-
A.
hasNumberOfFields
chosen
Indicates the specific count of fields or distinct data elements that an entity possesses.
-
B.
numberOfAttributes
Indicates the total count of distinct attributes or properties associated with a given entity or object.
-
C.
numberOfFieldPeriods
Indicates the total count of distinct field periods associated with or occurring within a given context or entity.
-
D.
numberOfColumns
Indicates the total count of vertical divisions (columns) associated with or contained in a given structure or dataset.
-
E.
hasNumberOfFieldsHorizontally
Indicates the number of fields or columns arranged side by side along the horizontal axis in a given structure or layout.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.