Triple
T10736372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seder Zeraim |
E253204
|
entity |
| Predicate | literalMeaning |
P3918
|
FINISHED |
| Object |
Order of Seeds
Order of Seeds is the first section of the Mishnah and Talmud, primarily dealing with Jewish agricultural laws and related blessings.
|
E883623
|
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: Order of Seeds | Statement: [Seder Zeraim, literalMeaning, Order of Seeds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Order of Seeds Context triple: [Seder Zeraim, literalMeaning, Order of Seeds]
-
A.
Semence
The Semence is a river in eastern France that flows through the commune of Charolles in the Saône-et-Loire department.
-
B.
SEED
SEED is a Stanford University institute focused on promoting innovation and entrepreneurship to drive economic development in emerging and developing economies.
-
C.
The Seed (2.0)
"The Seed (2.0)" is a song by American hip hop band The Roots that blends rap, rock, and soul elements and is widely recognized as one of their signature tracks.
-
D.
Seedley
Seedley is a residential district within the city of Salford in Greater Manchester, England.
-
E.
Tuff Seed
"Tuff Seed" is a popular reggae/dancehall track by Ghanaian artist Stonebwoy that helped solidify his international recognition.
- 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: Order of Seeds Triple: [Seder Zeraim, literalMeaning, Order of Seeds]
Generated description
Order of Seeds is the first section of the Mishnah and Talmud, primarily dealing with Jewish agricultural laws and related blessings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Order of Seeds Target entity description: Order of Seeds is the first section of the Mishnah and Talmud, primarily dealing with Jewish agricultural laws and related blessings.
-
A.
Semence
The Semence is a river in eastern France that flows through the commune of Charolles in the Saône-et-Loire department.
-
B.
SEED
SEED is a Stanford University institute focused on promoting innovation and entrepreneurship to drive economic development in emerging and developing economies.
-
C.
The Seed (2.0)
"The Seed (2.0)" is a song by American hip hop band The Roots that blends rap, rock, and soul elements and is widely recognized as one of their signature tracks.
-
D.
Seedley
Seedley is a residential district within the city of Salford in Greater Manchester, England.
-
E.
Tuff Seed
"Tuff Seed" is a popular reggae/dancehall track by Ghanaian artist Stonebwoy that helped solidify his international recognition.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71022aee0819091a5790d3dee6777 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22cc4edc8190a7ab45e57ed94c47 |
completed | April 14, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69de271ca4f081908d78a20b25ebd25c |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2ccee0cc8190acd24d5c225f7cde |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:14 p.m.