Triple
T25175906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malawi and Mozambique |
E630445
|
entity |
| Predicate | shareEconomicLinks |
P25108
|
FINISHED |
| Object | trade |
—
|
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: trade | Statement: [Malawi and Mozambique, shareEconomicLinks, trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareEconomicLinks Context triple: [Malawi and Mozambique, shareEconomicLinks, trade]
-
A.
economicLink
chosen
Indicates a relationship where entities are connected through economic interactions, dependencies, or exchanges such as trade, investment, or financial flows.
-
B.
sharesEconomy
Indicates that two or more entities participate in or contribute to the same economic system, resources, or financial activities.
-
C.
linksEconomicCenter
Indicates a relationship where one entity connects or ties another entity to an economic center, such as a hub of trade, finance, or commercial activity.
-
D.
economicDataSource
Indicates the source or origin from which economic data or statistics are obtained or derived.
-
E.
sharesMarketWith
Indicates that two entities operate in or target the same market or customer segment, implying competitive or overlapping commercial presence.
- 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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 21, 2026, 12:34 p.m.