Triple
T13026489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shmuel of Nehardea |
E326320
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
city of Nehardea
The city of Nehardea was an important Jewish center in Babylonia during the Talmudic period, known for its prominent academy and rabbinic leadership.
|
E1016283
|
NE FINISHED |
How this triple was built (4 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: city of Nehardea | Statement: [Shmuel of Nehardea, associatedWith, city of Nehardea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Nehardea Context triple: [Shmuel of Nehardea, associatedWith, city of Nehardea]
-
A.
Banias
Banias is an ancient site in the Golan Heights known for its springs, archaeological ruins, and historical sanctuary dedicated to the Greek god Pan.
-
B.
Banias
Banias is a coastal city on the Mediterranean Sea in western Syria, known for its oil refinery and port facilities.
-
C.
Banias
Banias are a traditional Indian merchant and trading community historically associated with commerce, moneylending, and often with Vaishya caste status.
-
D.
City of Hamm
The City of Hamm is a mid-sized industrial and service-oriented city in North Rhine-Westphalia, Germany, located in the eastern Ruhr area.
-
E.
Beuthen
Beuthen is the historical German name for the city of Bytom in southern Poland’s Upper Silesia region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: city of Nehardea Triple: [Shmuel of Nehardea, associatedWith, city of Nehardea]
Generated description
The city of Nehardea was an important Jewish center in Babylonia during the Talmudic period, known for its prominent academy and rabbinic leadership.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: city of Nehardea Target entity description: The city of Nehardea was an important Jewish center in Babylonia during the Talmudic period, known for its prominent academy and rabbinic leadership.
-
A.
Banias
Banias is a coastal city on the Mediterranean Sea in western Syria, known for its oil refinery and port facilities.
-
B.
Banias
Banias is an ancient site in the Golan Heights known for its springs, archaeological ruins, and historical sanctuary dedicated to the Greek god Pan.
-
C.
Banias
Banias are a traditional Indian merchant and trading community historically associated with commerce, moneylending, and often with Vaishya caste status.
-
D.
City of Hamm
The City of Hamm is a mid-sized industrial and service-oriented city in North Rhine-Westphalia, Germany, located in the eastern Ruhr area.
-
E.
Beuthen
Beuthen is the historical German name for the city of Bytom in southern Poland’s Upper Silesia region.
- F. None of above. chosen
Provenance (5 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efc07488190a15f3e41ea2db45c |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11f83d88190bc153dba75db0995 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c43bc75c8190887b8135fbc8bbb5 |
completed | May 3, 2026, 3:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c50cf3c08190b1ef6379f1f96201 |
completed | May 3, 2026, 3:46 a.m. |
Created at: April 9, 2026, 8:53 p.m.