Triple

T10846258
Position Surface form Disambiguated ID Type / Status
Subject Hebrew University of Jerusalem E256016 entity
Predicate locatedIn P40 FINISHED
Object Ein Kerem E415714 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: Ein Kerem | Statement: [Hebrew University of Jerusalem, locatedIn, Ein Kerem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ein Kerem
Context triple: [Hebrew University of Jerusalem, locatedIn, Ein Kerem]
  • A. Ein Kerem chosen
    Ein Kerem is a picturesque historic village in southwest Jerusalem, traditionally regarded as the birthplace of John the Baptist and now known for its churches, art galleries, and cafes.
  • B. Mishbetzot Zahav
    Mishbetzot Zahav is the gloss on the Shulchan Aruch Orach Chaim section within the Pri Megadim, offering detailed analytical commentary and clarifications on Jewish legal rulings.
  • C. Sarei HaMeah
    Sarei HaMeah is a significant Hebrew work by Rabbi Yehuda Leib Maimon that profiles and analyzes one hundred prominent rabbinic figures.
  • D. Zohar Manna
    Zohar Manna was a pioneering computer scientist known for his foundational work in mathematical logic, program verification, and the formal methods of software correctness.
  • E. Tohorot
    Tohorot is a tractate of the Mishnah that deals with the complex laws of ritual purity and impurity.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d750d132e081909c977b3dc4110ca4 completed April 9, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb162d718819081fbc3a082672b4f completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.