Triple
T32838129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zrt. |
E839891
|
entity |
| Predicate | typicalNumberOfOwners |
P17417
|
FINISHED |
| Object | small group of owners |
—
|
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: small group of owners | Statement: [Zrt., typicalNumberOfOwners, small group of owners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalNumberOfOwners Context triple: [Zrt., typicalNumberOfOwners, small group of owners]
-
A.
numberOfOwners
chosen
Indicates the total count of distinct owners associated with a given entity.
-
B.
typicalUseDays
Indicates the usual or expected number of days over which something is used or intended to be used.
-
C.
ownershipModel
Indicates the type or structure of ownership relationship that governs how control, rights, or shares are held between entities.
-
D.
toyOwner
Indicates that one entity is the owner or possessor of a particular toy belonging to another entity.
-
E.
familyStatusOfOwners
Indicates the type of familial relationship or family-related status that exists among the owners.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:16 a.m.