Triple
T10816905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seder Tohorot |
E255254
|
entity |
| Predicate | hasTractate |
P37921
|
FINISHED |
| Object | Mikvaot |
E349328
|
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: Mikvaot | Statement: [Seder Tohorot, hasTractate, Mikvaot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mikvaot Context triple: [Seder Tohorot, hasTractate, Mikvaot]
-
A.
mikvaot (ritual baths)
chosen
Mikvaot (ritual baths) are Jewish ritual immersion pools used for achieving spiritual purity in accordance with halakhic (Jewish legal) requirements.
-
B.
Wallerstein Mikvah
Wallerstein Mikvah is a Jewish ritual bath facility serving the Orthodox community in the Kemp Mill neighborhood of Silver Spring, Maryland.
-
C.
Nidda
The Nidda is a river in the German state of Hesse that flows through towns such as Bad Vilbel and joins the Main near Frankfurt.
-
D.
Mishkenot
Mishkenot is a residential neighborhood in the Israeli city of Rehovot.
-
E.
Sde Boqer
Sde Boqer is a kibbutz in Israel’s Negev desert best known as the retirement home and burial place of the country’s first prime minister, David Ben-Gurion.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733eea03c8190a68f4d4f89f497a2 |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de855799748190b51745a198daa8d0 |
completed | April 14, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:18 p.m.