Triple
T5097961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin Patriarchate of Antioch |
E114912
|
entity |
| Predicate | seeType |
P61085
|
FINISHED |
| Object | patriarchal see without large indigenous Latin population |
—
|
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: patriarchal see without large indigenous Latin population | Statement: [Latin Patriarchate of Antioch, seeType, patriarchal see without large indigenous Latin population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seeType Context triple: [Latin Patriarchate of Antioch, seeType, patriarchal see without large indigenous Latin population]
-
A.
sightType
Indicates the specific kind or category of sight or visual perception associated with an entity or event.
-
B.
isSeeOf
Indicates that one entity serves as the episcopal or ecclesiastical seat (see) of another, typically a bishop or similar religious office.
-
C.
showType
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
-
D.
viewType
Indicates the specific manner or format in which something is displayed, presented, or visually arranged.
-
E.
sees
Indicates that one entity visually perceives or observes another entity.
- F. None of above. chosen
Provenance (4 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7567d21081909227ed8f08b74c71 |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd738ac2e0819099c06cdcc5e21d28 |
completed | March 20, 2026, 4:19 p.m. |
Created at: March 20, 2026, 1:40 p.m.