Triple

T15351649
Position Surface form Disambiguated ID Type / Status
Subject Ramat Hasharon E367066 entity
Predicate locatedNear P294 FINISHED
Object Hod HaSharon E680169 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: Hod HaSharon | Statement: [Ramat Hasharon, locatedNear, Hod HaSharon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hod HaSharon
Context triple: [Ramat Hasharon, locatedNear, Hod HaSharon]
  • A. Hod HaSharon chosen
    Hod HaSharon is a city in central Israel, known as a suburban community within the Tel Aviv metropolitan area.
  • B. Shaar HaBitachon
    Shaar HaBitachon is a foundational section of the medieval Jewish ethical work Chovot HaLevavot that teaches the principles and practice of trusting in God.
  • C. Shaar HaTziyun
    Shaar HaTziyun is a detailed commentary and source-reference work by Rabbi Yisrael Meir Kagan that accompanies the Mishnah Berurah on the Shulchan Aruch, Orach Chaim.
  • D. Ramat Hasharon
    Ramat Hasharon is a city in Israel’s Tel Aviv District, known as an affluent suburban community and home to Israel’s national tennis center.
  • E. Tel HaShomer
    Tel HaShomer is a neighborhood in Ramat Gan, Israel, best known for its major military base and large government-run hospital complex.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e290efc8190b22c95dcd3e5f57f completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01fd53688190939787a3d6ff3bb9 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.