Triple
T6756808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arms of Hungary |
E154480
|
entity |
| Predicate | featuresDivision |
P38807
|
FINISHED |
| Object | party per pale |
—
|
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: party per pale | Statement: [arms of Hungary, featuresDivision, party per pale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDivision Context triple: [arms of Hungary, featuresDivision, party per pale]
-
A.
featuresSegment
chosen
Indicates that one entity includes or highlights a particular segment or portion of another entity as a notable part of it.
-
B.
fieldDivision
Indicates a relationship where a larger field or area is partitioned into smaller sections or subdivisions.
-
C.
panelDivision
Indicates a relationship where a larger panel or board is divided into smaller sections or segments.
-
D.
divisionRenamedFrom
Indicates that a division currently known by one name was previously known by another specified name.
-
E.
divisionTitle
Indicates the formal name or title assigned to a specific division within a larger organization or structure.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d327e37081909d576e6eff9eec97 |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09227108190b253b91967831a85 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:11 p.m.