Triple
T25999054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fen-Edebiyat Fakültesi |
E646567
|
entity |
| Predicate | bulunduğuKıta |
P160704
|
FINISHED |
| Object | Avrupa |
—
|
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: Avrupa | Statement: [Fen-Edebiyat Fakültesi, bulunduğuKıta, Avrupa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bulunduğuKıta Context triple: [Fen-Edebiyat Fakültesi, bulunduğuKıta, Avrupa]
-
A.
isLocatedOn
Indicates that one entity exists at or is situated upon the surface or area of another entity.
-
B.
countryLocatedOn
Indicates that a country is geographically situated on or within the boundaries of a specified landmass, island, or continent.
-
C.
situatedAmong
Indicates that an entity is located within or surrounded by multiple other entities in its immediate environment.
-
D.
livedOnContinent
Indicates that an entity resided for a period of time on a specified continent.
-
E.
countryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or entity.
- 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605720be48190b1b64ecdccfaec17 |
completed | May 2, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f603b90c94819088d62cb9489e95ff |
completed | May 2, 2026, 2:01 p.m. |
Created at: April 22, 2026, 8:58 a.m.