Triple
T36818877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecclesiastical province of Ivano-Frankivsk |
E909821
|
entity |
| Predicate | hasTypeOfOrdinaries |
P112120
|
FINISHED |
| Object | metropolitan archbishop |
—
|
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: metropolitan archbishop | Statement: [Ecclesiastical province of Ivano-Frankivsk, hasTypeOfOrdinaries, metropolitan archbishop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfOrdinaries Context triple: [Ecclesiastical province of Ivano-Frankivsk, hasTypeOfOrdinaries, metropolitan archbishop]
-
A.
hasTypeOfOrdinary
chosen
Indicates that something belongs to or is classified as an ordinary or non-special type within a given category or system.
-
B.
isOrdinaryOf
Indicates that one entity is the standard, non-special, or typical instance or form of another entity.
-
C.
hasOrdinaryForm
Indicates that an entity possesses its standard, non-special, or regular form or version.
-
D.
ordinaryType
Indicates that something belongs to a standard, non-specialized, or default category or type within a given classification.
-
E.
hasFormerOrdinary
Indicates that an entity previously held the status or role of an ordinary (e.g., a regular or standard office/position) in relation to another entity.
- 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_69f76e7dd13c81908c60b05adb49eeb5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffb1218cb08190a814c7f0833501a7 |
completed | May 9, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69ffb083d6988190b2757e0cfd629b75 |
completed | May 9, 2026, 10:09 p.m. |
Created at: May 3, 2026, 4:13 p.m.