Triple
T19102061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shipki La Indo–China trade point |
E467556
|
entity |
| Predicate | tradeGoodsCategory |
P26480
|
FINISHED |
| Object | local agricultural products |
—
|
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: local agricultural products | Statement: [Shipki La Indo–China trade point, tradeGoodsCategory, local agricultural products]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradeGoodsCategory Context triple: [Shipki La Indo–China trade point, tradeGoodsCategory, local agricultural products]
-
A.
commodityType
Indicates the classification of a good or product according to its type or category within a commodity system.
-
B.
productsTraded
chosen
Indicates that one entity exchanges or deals specific goods or commodities with another entity.
-
C.
commodityClass
Indicates that one entity is classified as belonging to a particular category or class of commodities in relation to another entity.
-
D.
typicalGoodsSold
Indicates the kinds of goods or products that an entity most commonly or characteristically sells.
-
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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36e9bfc8190bbaccab169394d99 |
completed | April 20, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:04 p.m.