Triple
T14185205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grote Markt (Gouda) |
E351556
|
entity |
| Predicate | mainTypeOfGoodsSoldHistorically |
P53553
|
FINISHED |
| Object | cheese |
—
|
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: cheese | Statement: [Grote Markt (Gouda), mainTypeOfGoodsSoldHistorically, cheese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainTypeOfGoodsSoldHistorically Context triple: [Grote Markt (Gouda), mainTypeOfGoodsSoldHistorically, cheese]
-
A.
typicalGoodsSold
chosen
Indicates the kinds of goods or products that an entity most commonly or characteristically sells.
-
B.
historicallyStoredGoods
Indicates that an entity has previously stored certain goods at some time in the past.
-
C.
majorTradeType
Indicates the primary category or kind of trade activity that characterizes the relationship between the involved entities.
-
D.
commodityType
Indicates the classification of a good or product according to its type or category within a commodity system.
-
E.
historicallyUsedFor
Indicates that something served a particular function or purpose at some point in the past, even if it may no longer be used that way now.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cd5778819092a03597bcdcc182 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:03 a.m.