Triple
T32034254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syriac Orthodox Patriarch of Antioch |
E818048
|
entity |
| Predicate | currentPrimaryCountry |
P159374
|
FINISHED |
| Object | Syria |
—
|
NE NERFINISHED |
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: Syria | Statement: [Syriac Orthodox Patriarch of Antioch, currentPrimaryCountry, Syria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentPrimaryCountry Context triple: [Syriac Orthodox Patriarch of Antioch, currentPrimaryCountry, Syria]
-
A.
mainCountry
Indicates that one country is the primary or most significant country associated with a given entity or context.
-
B.
primaryReferenceCountry
chosen
Indicates the main country that serves as the primary point of reference or association for the related entity.
-
C.
currentCountrySince
Indicates the date or point in time since which an entity has been in its current country (such as residence, operation, or affiliation).
-
D.
primaryUseCountry
Indicates the country in which something is primarily used or most commonly utilized.
-
E.
scriptPrimaryCountry
Indicates the primary country most closely associated with the origin, usage, or standardization of a given script.
- 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_69f348fbc8148190b3c0f95d4772b153 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: May 1, 2026, 12:18 a.m.