Triple
T13590913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loro Piana |
E324688
|
entity |
| Predicate | supplyChainFocus |
P110199
|
FINISHED |
| Object | fiber sourcing |
—
|
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: fiber sourcing | Statement: [Loro Piana, supplyChainFocus, fiber sourcing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supplyChainFocus Context triple: [Loro Piana, supplyChainFocus, fiber sourcing]
-
A.
supplyChain
Indicates a relationship where one entity participates in providing, transferring, or managing goods, services, or information to another as part of a sequential production and distribution process.
-
B.
supplyRole
Indicates that an entity provides or fulfills a specific role within a supply or provisioning relationship to another entity.
-
C.
industrialFocus
Indicates a relationship where an entity is primarily concerned with, specialized in, or directed toward a particular industrial sector or area of industrial activity.
-
D.
tradeFocus
Indicates a primary emphasis on or specialization in a particular type of trade, transaction, or commercial activity within the relationship or context.
-
E.
chains
Indicates that one entity is physically or metaphorically bound, linked, or restrained by another through chains or a chain-like connection.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb056ce088190a6feb4266633d18b |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaf9f3bdc8190838539aaef1f422b |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:49 p.m.