Triple
T34939673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | šahovnica |
E1007679
|
entity |
| Predicate | totalNumberOfFields |
P7664
|
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: [šahovnica, totalNumberOfFields, 25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalNumberOfFields Context triple: [šahovnica, totalNumberOfFields, 25]
-
A.
hasNumberOfFields
Indicates the specific count of fields or distinct data elements that an entity possesses.
-
B.
numberOfFieldPeriods
Indicates the total count of distinct field periods associated with or occurring within a given context or entity.
-
C.
hasTotalNumber
chosen
Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
-
D.
numberOfAttributes
Indicates the total count of distinct attributes or properties associated with a given entity or object.
-
E.
numberOfEntities
Indicates the total count of distinct entities involved in or associated with a given context or situation.
- 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_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4 p.m.