Triple
T37431886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasseralfingen |
E930162
|
entity |
| Predicate | hasIronworks |
P187812
|
FINISHED |
| Object | Schwäbische Hüttenwerke |
—
|
NE NERFINISHED |
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: Schwäbische Hüttenwerke | Statement: [Wasseralfingen, hasIronworks, Schwäbische Hüttenwerke]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIronworks Context triple: [Wasseralfingen, hasIronworks, Schwäbische Hüttenwerke]
-
A.
operatedAsIronworksUntil
Indicates that an entity functioned in the capacity of an ironworks up to a specified point in time.
-
B.
industrialComplex
Indicates a relationship where a facility or site functions as a large-scale, integrated center for industrial production, processing, or related operations.
-
C.
industrialBelt
Indicates that an area forms part of a concentrated zone of industrial activity, typically characterized by a high density of factories, plants, or related industrial facilities.
-
D.
industrializedBy
Indicates that an entity has undergone industrial development or transformation as a result of actions carried out by another specified agent or process.
-
E.
eraOfIndustrialDevelopment
Indicates the historical period during which an entity experienced industrial growth, modernization, or significant development in its industrial sector.
- 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_69f76ebfdcb8819098562ff3db673b04 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb92ee27408190b0116ef2d789abac |
completed | May 6, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:17 p.m.