Triple
T3544393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngäbe |
E74959
|
entity |
| Predicate | migrantLaborSector |
P10129
|
FINISHED |
| Object | coffee plantations |
—
|
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: coffee plantations | Statement: [Ngäbe, migrantLaborSector, coffee plantations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: migrantLaborSector Context triple: [Ngäbe, migrantLaborSector, coffee plantations]
-
A.
laborMarket
Indicates the relationship between workers seeking jobs and employers offering positions, including how wages, employment levels, and working conditions are determined through their interaction.
-
B.
labour
Indicates that an entity performs work or exerts effort, typically in a productive, economic, or physical context, often for another entity or purpose.
-
C.
laborProvision
chosen
Indicates the provision or supply of labor or workforce from one party to another for work or services.
-
D.
mainLaborLaw
Indicates that the referenced law is the primary or governing labor/employment law applicable to the situation or entities involved.
-
E.
laborSystem
Indicates the type or structure of work organization, employment arrangements, and labor relations that govern how work is performed and managed.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf76c5b08190b898d31b80a3a350 |
completed | March 8, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69adae15749881909b847c6ca73c934e |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:20 p.m.