Triple
T38285983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schulenberg im Oberharz |
E1022207
|
entity |
| Predicate | formerEconomicSector |
P19843
|
FINISHED |
| Object | metal ore mining |
—
|
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: metal ore mining | Statement: [Schulenberg im Oberharz, formerEconomicSector, metal ore mining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerEconomicSector Context triple: [Schulenberg im Oberharz, formerEconomicSector, metal ore mining]
-
A.
formerEconomicActivity
chosen
Indicates that an entity previously engaged in a specified economic activity but no longer does so.
-
B.
economicSectors
Indicates a relationship that associates entities with the economic sectors or industries in which they operate or to which they belong.
-
C.
formerKeyIndustry
Indicates that an entity was once a primary or strategically important industry for another entity but no longer holds that status.
-
D.
economicSectorDominant
Indicates that one economic sector holds a leading or controlling position relative to others in terms of influence, output, or importance.
-
E.
sectoralClassification
Indicates how an entity is categorized into a specific economic or industry sector within a classification scheme.
- 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_69f76df190f081908d5aa02c8a9286d0 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a013f09b0988190ba3179c7d56c726a |
completed | May 11, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_6a013e600e248190a1a9c363702c8586 |
completed | May 11, 2026, 2:26 a.m. |
Created at: May 3, 2026, 4:30 p.m.