Triple
T37165275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schemnitz |
E920777
|
entity |
| Predicate | MiningAcademyFoundedIn |
P183307
|
FINISHED |
| Object | 18th century |
—
|
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: 18th century | Statement: [Schemnitz, MiningAcademyFoundedIn, 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MiningAcademyFoundedIn Context triple: [Schemnitz, MiningAcademyFoundedIn, 18th century]
-
A.
MiningAcademyFounded
chosen
Indicates that an educational institution focused on mining was established at a certain time or by a certain entity.
-
B.
miningHeritage
Indicates a historical or cultural connection to mining activities, sites, or traditions.
-
C.
mainMiningCenter
Indicates that a location serves as the primary site or hub for mining activities within a given context.
-
D.
miningScale
Indicates the relative size or intensity of a mining operation or activity.
-
E.
miningCompany
Indicates a relationship where an entity operates as a company engaged in the extraction of natural resources from the earth.
- 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_69f76ea0429081908c711b55599eac3c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.