Triple
T35681349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TUR |
E1031018
|
entity |
| Predicate | associatedCountryContinent |
P41588
|
FINISHED |
| Object | Europe |
E833
|
NE 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: Europe | Statement: [TUR, associatedCountryContinent, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCountryContinent Context triple: [TUR, associatedCountryContinent, Europe]
-
A.
alsoContinent
Indicates that two entities share the same continent or that one entity is located on a continent in addition to another.
-
B.
associatedWithContinent
Indicates that an entity has a geographical or contextual connection to a specific continent.
-
C.
continentCountry
chosen
Indicates that a country is located on or belongs to a specific continent.
-
D.
continentType
Indicates that one entity is classified as a specific type or category of continent in relation to another entity.
-
E.
continentOfUse
Indicates the continent where something is primarily used or in effect.
- F. None of above.
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_69f76e0bb6608190ad3a1880be54a17d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a387d06747881908be93c1b2c4f7631 |
completed | June 22, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.