Triple
T8954684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archbishop of Esztergom |
E213442
|
entity |
| Predicate | traditionallyConsidered |
P13958
|
FINISHED |
| Object | first among bishops in Hungary |
—
|
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: first among bishops in Hungary | Statement: [Archbishop of Esztergom, traditionallyConsidered, first among bishops in Hungary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionallyConsidered Context triple: [Archbishop of Esztergom, traditionallyConsidered, first among bishops in Hungary]
-
A.
traditionallyOneOf
Indicates that something is customarily or historically considered to belong to a specific set, category, or group.
-
B.
establishedTradition
Indicates that something has become a customary, long-standing practice or convention that is regularly followed within a group, culture, or context.
-
C.
traditionClassification
Indicates how a given item, practice, or concept is categorized within a particular tradition or system of traditions.
-
D.
traditionAscribes
chosen
Indicates that a tradition attributes or assigns a particular quality, role, origin, or action to an entity.
-
E.
settingTraditional
Indicates that something is situated or occurs within a traditional setting, context, 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6724f3e4819092c6b13d80871e80 |
completed | April 1, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed74d288190b712d739805579dc |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7 p.m.