Triple
T28723613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zahara Collection |
E730161
|
entity |
| Predicate | ethicalSourcing |
P58111
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Zahara Collection, ethicalSourcing, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethicalSourcing Context triple: [Zahara Collection, ethicalSourcing, true]
-
A.
hasEthicalStandard
chosen
Indicates that an entity adheres to, follows, or is governed by a specified set of ethical principles or standards.
-
B.
usesIngredientSourcing
Indicates that one entity obtains or incorporates another entity as a source of ingredients in its operations or products.
-
C.
hasCorporateEthos
Indicates that an entity embodies, promotes, or is characterized by a particular set of shared corporate values, principles, and cultural norms.
-
D.
hasEthicalText
Indicates that an entity is associated with or contains text expressing ethical principles, guidelines, or considerations.
-
E.
hasEthicalDimension
Indicates that the relationship, action, or situation involves moral considerations, value judgments, or ethical implications.
- 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_69f043e91fe48190b73bcd8e08d433e0 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6570be4748190902852f5fa92cf54 |
completed | May 2, 2026, 7:57 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 5:54 a.m.