Triple
T11264152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aral (island in Turkic languages) |
E266639
|
entity |
| Predicate | influenceOnToponymy |
P98810
|
FINISHED |
| Object | naming of water bodies |
—
|
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: naming of water bodies | Statement: [Aral (island in Turkic languages), influenceOnToponymy, naming of water bodies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influenceOnToponymy Context triple: [Aral (island in Turkic languages), influenceOnToponymy, naming of water bodies]
-
A.
hasEthnolinguisticOriginOfToponym
Indicates that a toponym (place name) originates from or is derived from a particular ethnolinguistic group or language.
-
B.
hasToponymy
Indicates a relationship where one entity possesses or is associated with the system, study, or set of place names (toponyms) of another entity.
-
C.
inspiredToponymCountry
Indicates that a country’s name was inspired by, derived from, or otherwise based on a particular toponym (place name).
-
D.
toponymLiteralMeaning
Indicates the literal or etymological meaning of a place name (toponym), describing what the name directly translates to or signifies.
-
E.
commonInOnomastics
Indicates that a name, term, or pattern frequently appears or is widely used within the study and practice of naming (onomastics).
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94d56048190bf808e1bc2188714 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:31 p.m.