Triple
T30378710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiepenkerl (archetypal figure) |
E772761
|
entity |
| Predicate | goodsSold |
P53553
|
FINISHED |
| Object | household items |
—
|
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: household items | Statement: [Kiepenkerl (archetypal figure), goodsSold, household items]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goodsSold Context triple: [Kiepenkerl (archetypal figure), goodsSold, household items]
-
A.
soldProducts
Indicates that an entity has sold certain products to another entity or in a particular context.
-
B.
soldDuring
Indicates that a selling transaction or event occurred within the time span of a specified period or event.
-
C.
typicalGoodsSold
chosen
Indicates the kinds of goods or products that an entity most commonly or characteristically sells.
-
D.
soldItem
Indicates that one entity has transferred ownership of an item to another entity in exchange for payment.
-
E.
soldWellIn
Indicates that something achieved strong sales performance within a particular market, region, or time period.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68516d72c8190a86c755b5907f5c4 |
completed | May 2, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8 p.m.