Triple
T4581640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GoodWeave International |
E101866
|
entity |
| Predicate | hasEthicalStandard |
P58111
|
FINISHED |
| Object | no child labor |
—
|
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: no child labor | Statement: [GoodWeave International, hasEthicalStandard, no child labor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthicalStandard Context triple: [GoodWeave International, hasEthicalStandard, no child labor]
-
A.
hasEthicalDimension
Indicates that the relationship, action, or situation involves moral considerations, value judgments, or ethical implications.
-
B.
hasEthicsBody
Indicates that an entity is associated with, overseen by, or governed through a formal ethics committee or ethics review body.
-
C.
hasCorporateEthos
Indicates that an entity embodies, promotes, or is characterized by a particular set of shared corporate values, principles, and cultural norms.
-
D.
hasEthicalAssessment
Indicates that an entity has been evaluated according to ethical criteria or standards.
-
E.
hasEthicalRole
Indicates that an entity holds a position, function, or responsibility defined in terms of ethical duties, norms, or moral obligations in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd590116e88190b8495b2a78cf3fb6 |
completed | March 20, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69bd5228b70c8190ac48705e35a710c1 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b4a9508190acdb888eef18f1ee |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:10 p.m.