Triple
T14899640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stroudwater cloth |
E359967
|
entity |
| Predicate | tradeGoodType |
P53553
|
FINISHED |
| Object | export cloth |
—
|
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: export cloth | Statement: [Stroudwater cloth, tradeGoodType, export cloth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradeGoodType Context triple: [Stroudwater cloth, tradeGoodType, export cloth]
-
A.
productsTraded
Indicates that one entity exchanges or deals specific goods or commodities with another entity.
-
B.
commodityType
Indicates the classification of a good or product according to its type or category within a commodity system.
-
C.
typicalGoodsSold
chosen
Indicates the kinds of goods or products that an entity most commonly or characteristically sells.
-
D.
exportedGood
Indicates that a good has been sent out from one country or region to another as part of international trade.
-
E.
majorTradeType
Indicates the primary category or kind of trade activity that characterizes the relationship between the involved entities.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded609bf68819099ca3aa3fe1acadc |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:11 a.m.