Triple
T19142122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biur ha-Gra on Shulchan Aruch |
E468583
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Tur |
—
|
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: Tur | Statement: [Biur ha-Gra on Shulchan Aruch, basedOn, Tur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tur Context triple: [Biur ha-Gra on Shulchan Aruch, basedOn, Tur]
-
A.
Tur
chosen
Tur is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organized halakhic rulings and served as a primary basis for later works like the Shulchan Aruch.
-
B.
Ter
The Ter is a river in northeastern Catalonia, Spain, that flows through cities such as Girona before emptying into the Mediterranean Sea.
-
C.
Tar
Tar is an American noise rock band known for its heavy, guitar-driven sound and association with the underground rock scene of the late 1980s and early 1990s.
-
D.
Tar
Tar is a diminutive form of the given name Tara, often used as a casual or affectionate nickname.
-
E.
Tu
Tu Youyou is a Chinese pharmaceutical chemist and Nobel laureate renowned for discovering the antimalarial drug artemisinin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e975e09c8190911e98e6e558615d |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 10, 2026, 12:05 p.m.