Triple
T7676057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zanon ceramics factory |
E173863
|
entity |
| Predicate | formerOwnershipForm |
P42348
|
FINISHED |
| Object | privately owned company |
—
|
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: privately owned company | Statement: [Zanon ceramics factory, formerOwnershipForm, privately owned company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerOwnershipForm Context triple: [Zanon ceramics factory, formerOwnershipForm, privately owned company]
-
A.
formerPartOwnerOf
Indicates that an entity previously held, but no longer holds, a partial ownership stake in another entity.
-
B.
hasOwnershipForm
chosen
Indicates that an entity possesses a particular legal or organizational form of ownership (such as private, public, or cooperative).
-
C.
formerSiteOwner
Indicates that one entity previously owned or controlled a particular site but no longer does so.
-
D.
formerType
Indicates that one entity previously had a certain type, role, or classification but no longer does.
-
E.
formerField
Indicates that an entity previously had a particular field, role, or area of activity, but no longer does.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7048b0b448190889bd40e0a38e51a |
completed | March 27, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69c701618d3481908be84b76f36ac5a1 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4:01 p.m.