Triple
T29713277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HM |
E751839
|
entity |
| Predicate | commonDesignationIn |
P7254
|
FINISHED |
| Object | Hungarian public administration |
—
|
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: Hungarian public administration | Statement: [HM, commonDesignationIn, Hungarian public administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonDesignationIn Context triple: [HM, commonDesignationIn, Hungarian public administration]
-
A.
collectiveDesignationOf
Indicates that one entity serves as the collective or group name by which a set of entities is designated.
-
B.
commonLabel
Indicates that two or more entities share the same label or designation.
-
C.
typicalDesignation
Indicates that one entity is the usual or commonly used designation (name, label, or title) for another entity.
-
D.
moreCommonIn
Indicates that something occurs with greater frequency or prevalence in one group, context, or location than in another.
-
E.
commonIn
chosen
Indicates that something frequently occurs, appears, or is found within a specified context, group, or environment.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: April 28, 2026, 7:32 p.m.