Triple
T1729007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Szeged |
E37566
|
entity |
| Predicate | hasHighNumberOf |
P25941
|
FINISHED |
| Object | sunny days |
—
|
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: sunny days | Statement: [Szeged, hasHighNumberOf, sunny days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighNumberOf Context triple: [Szeged, hasHighNumberOf, sunny days]
-
A.
hasHigh
Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
-
B.
hasHighPropertyValues
chosen
Indicates that the associated entity possesses property values that are above a defined or typical threshold.
-
C.
hasHighProfileOwnership
Indicates that an entity is owned, controlled, or significantly invested in by a prominent or high-profile individual or organization.
-
D.
hasHighRiseSpan
Indicates that a structure or element extends vertically across a significant number of levels or stories, forming a tall or high-rise span.
-
E.
hasNumberOfCasesApprox
Indicates that an entity is associated with an approximate (not exact) count of cases.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aadb7bda1081908f2c41c520c9c55c |
completed | March 6, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69aa61c0a0288190bce9d60062a84b69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.