Triple
T35971070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Изборская крепость |
E1040285
|
entity |
| Predicate | строительныйМатериал |
P112810
|
FINISHED |
| Object | известняк |
—
|
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: известняк | Statement: [Изборская крепость, строительныйМатериал, известняк]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: строительныйМатериал Context triple: [Изборская крепость, строительныйМатериал, известняк]
-
A.
مادة البناء
chosen
Indicates a relationship where something serves as, or is used as, a construction material in building or structural work.
-
B.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
C.
constructionMaterialOfDam
Indicates the material or materials used in the construction of a dam.
-
D.
houseMaterial
Indicates the material or substance from which a house is primarily constructed.
-
E.
constructionUsed
Indicates that one entity was employed as a construction method, material, or component in creating or assembling another entity.
- 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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.