Triple
T37379662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Aquatics Championships |
E928394
|
entity |
| Predicate | hasHostRotation |
P196570
|
FINISHED |
| Object | multiple European cities |
—
|
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: multiple European cities | Statement: [European Aquatics Championships, hasHostRotation, multiple European cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHostRotation Context triple: [European Aquatics Championships, hasHostRotation, multiple European cities]
-
A.
hasRotation
Indicates that one entity is rotated with respect to another, or possesses a specific rotational orientation or motion.
-
B.
hasRotationCharacteristic
Indicates that one entity possesses a specific rotational property, behavior, or attribute in relation to another entity or reference frame.
-
C.
typicalHostRotation
Indicates that an entity normally or characteristically serves as the rotational host or primary environment in which another entity operates or resides.
-
D.
hasHostChange
Indicates that an entity transitions from one host organism or environment to another over time.
-
E.
hasRotationFrequency
Indicates that one entity possesses or is characterized by a specific rate at which it rotates over time.
- F. None of above. chosen
Provenance (4 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_69f76eb9e66881908534cf22d04c3b5a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
| PDg | Predicate description generation | batch_69fe5c196f4081908f150d4cd6c528fa |
completed | May 8, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:16 p.m.