Triple
T4813307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archbishop Anastasios |
E107122
|
entity |
| Predicate | hasFollowers |
P59786
|
FINISHED |
| Object | Orthodox Christians in Albania |
—
|
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: Orthodox Christians in Albania | Statement: [Archbishop Anastasios, hasFollowers, Orthodox Christians in Albania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFollowers Context triple: [Archbishop Anastasios, hasFollowers, Orthodox Christians in Albania]
-
A.
followerOf
Indicates that one entity subscribes to, tracks, or regularly receives updates from another entity, typically in a social or informational context.
-
B.
layFollowers
Indicates that one entity is a non-ordained (lay) follower or adherent of another entity, typically a religious figure, institution, or tradition.
-
C.
followsApproximately
Indicates that one entity follows another in sequence or order, but with some allowable deviation or inexactness in timing, position, or pattern.
-
D.
followedIn
Indicates that one entity began following or subscribing to another entity, typically in a social or sequential context.
-
E.
follows
Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1dfa3481909d240d50ed0ee38c |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dda5e808190a26ec85e4499d8e4 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:23 p.m.