Triple
T23243428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedrela |
E581520
|
entity |
| Predicate | belongsToEconomicGroup |
P15824
|
FINISHED |
| Object | tropical timber trees |
—
|
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: tropical timber trees | Statement: [Cedrela, belongsToEconomicGroup, tropical timber trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToEconomicGroup Context triple: [Cedrela, belongsToEconomicGroup, tropical timber trees]
-
A.
isLinkedEconomicallyTo
Indicates that two entities are connected through economic relationships such as trade, investment, financial flows, or shared market dependencies.
-
B.
hasEconomicOrganization
Indicates that an entity possesses, is associated with, or participates in a specific economic organization or institutional economic structure.
-
C.
isPartOfEconomicCluster
chosen
Indicates that an entity belongs to, or is included within, a larger economic cluster or grouping based on economic relationships or activities.
-
D.
hasEconomicZoneType
Indicates the specific classification or category of economic zone associated with an entity.
-
E.
hasEconomicActor
Indicates that an entity participates in or influences an economic activity, process, or system in the role of an economic actor.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192efd44c8190b179b4d1cb71efa5 |
completed | April 29, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.