Triple
T25049549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plastic Valley |
E627337
|
entity |
| Predicate | hasSMEs |
P110112
|
FINISHED |
| Object | plastics small and medium-sized enterprises |
—
|
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: plastics small and medium-sized enterprises | Statement: [Plastic Valley, hasSMEs, plastics small and medium-sized enterprises]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSMEs Context triple: [Plastic Valley, hasSMEs, plastics small and medium-sized enterprises]
-
A.
hasBusinesses
chosen
Indicates that an entity owns, operates, or is associated with one or more businesses.
-
B.
hasEmployees
Indicates that one entity employs one or more other entities as its workers or staff.
-
C.
hasBusiness
Indicates that one entity owns, operates, or is formally associated with a business entity.
-
D.
hasBusinessNode
Indicates that an entity is associated with, linked to, or represented by a specific business-related node within a business structure or network.
-
E.
hasConsultants
Indicates that one entity engages or employs another entity to provide professional consulting services.
- 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_69e2ff2b4c80819087c916b2b16241b9 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f454a02ac88190ae0a2ac9071622eb |
completed | May 1, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:08 a.m.