Triple
T13577381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rav Papa |
E324322
|
entity |
| Predicate | role |
P268
|
FINISHED |
| Object | posek |
E268823
|
NE 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: posek | Statement: [Rav Papa, role, posek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: posek Context triple: [Rav Papa, role, posek]
-
A.
Posek
chosen
A posek is a Jewish legal scholar who issues authoritative rulings in matters of halakha (Jewish law).
-
B.
Sukošan
Sukošan is a coastal village and popular tourist destination on the Adriatic Sea in Croatia, known for its marina and beaches near the city of Zadar.
-
C.
Proskuriv
Proskuriv is the former name of the Ukrainian city now known as Khmelnytskyi, a regional center in western Ukraine.
-
D.
Po
The Po is Italy’s longest and most important river, flowing eastward across northern Italy from the Alps to the Adriatic Sea.
-
E.
Po
Po is the lovable, dumpling-obsessed panda who becomes the Dragon Warrior and hero of the Kung Fu Panda film series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb02de1988190af2d473973ecd529 |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bbbe3c08190a359dfe7c3c8f15c |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.