Triple
T13412927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amram Gaon |
E320134
|
entity |
| Predicate | positionHeld |
P8
|
FINISHED |
| Object | gaon of Sura |
E920281
|
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: gaon of Sura | Statement: [Amram Gaon, positionHeld, gaon of Sura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: gaon of Sura Context triple: [Amram Gaon, positionHeld, gaon of Sura]
-
A.
Hai Gaon
Hai Gaon was a prominent 11th-century Jewish Talmudic scholar and the last and one of the most influential heads (gaon) of the Pumbedita academy in Babylonia.
-
B.
Shegaon
Shegaon is a town in Maharashtra, India, best known as a major pilgrimage center associated with the revered saint Gajanan Maharaj.
-
C.
Sawerigadi
Sawerigadi is a town in Indonesia located in the province of Southeast Sulawesi.
-
D.
Gaon
chosen
A Gaon is a leading rabbinic authority and eminent Talmudic scholar recognized for exceptional halachic expertise and spiritual leadership.
-
E.
Ghodageri
Ghodageri is a village in Karnataka, India, known as the birthplace of renowned Kannada writer and Jnanpith awardee Chandrashekhara Kambara.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb556948190af008c88e5bbf051 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7307e9b5881908eb2cd9e4fa7c5f2 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:35 p.m.