Triple
T10157068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma'in |
E233800
|
entity |
| Predicate | tradeGoodsExported |
P57094
|
FINISHED |
| Object | frankincense |
—
|
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: frankincense | Statement: [Ma'in, tradeGoodsExported, frankincense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradeGoodsExported Context triple: [Ma'in, tradeGoodsExported, frankincense]
-
A.
exportedGood
chosen
Indicates that a good has been sent out from one country or region to another as part of international trade.
-
B.
majorTradeType
Indicates the primary category or kind of trade activity that characterizes the relationship between the involved entities.
-
C.
productsTraded
Indicates that one entity exchanges or deals specific goods or commodities with another entity.
-
D.
importedCommodity
Indicates that a commodity has been brought into a country or region from abroad through import activities.
-
E.
commodityProduced
Indicates that a particular commodity is generated, manufactured, or otherwise produced by a specified entity or process.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec3c47dc81909679903e6024eb49 |
completed | April 2, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:09 p.m.