Triple

T897303
Position Surface form Disambiguated ID Type / Status
Subject Hills of Jerusalem E19372 entity
Predicate hasPart P35 FINISHED
Object Givat Ram
Givat Ram is a central neighborhood and campus area in Jerusalem that hosts major national institutions, including the Knesset and the Hebrew University’s main campus.
 E163399 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: Givat Ram | Statement: [Hills of Jerusalem, hasPart, Givat Ram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Givat Ram
Context triple: [Hills of Jerusalem, hasPart, Givat Ram]
  • A. Givatayim
    Givatayim is a small, densely populated city in Israel’s Tel Aviv metropolitan area, known for its residential character and proximity to major urban centers.
  • B. Rehovot
    Rehovot is a city in central Israel known for its scientific and agricultural research institutions, including the Weizmann Institute of Science.
  • C. Kiryat Ono
    Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
  • D. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • E. Keren Hayesod
    Keren Hayesod is a central fundraising organization for Israel and the Jewish people worldwide, supporting immigration, settlement, and social development projects in partnership with major Zionist institutions.
  • 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: Givat Ram
Triple: [Hills of Jerusalem, hasPart, Givat Ram]
Generated description
Givat Ram is a central neighborhood and campus area in Jerusalem that hosts major national institutions, including the Knesset and the Hebrew University’s main campus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Givat Ram
Target entity description: Givat Ram is a central neighborhood and campus area in Jerusalem that hosts major national institutions, including the Knesset and the Hebrew University’s main campus.
  • A. Givatayim
    Givatayim is a small, densely populated city in Israel’s Tel Aviv metropolitan area, known for its residential character and proximity to major urban centers.
  • B. Rehovot
    Rehovot is a city in central Israel known for its scientific and agricultural research institutions, including the Weizmann Institute of Science.
  • C. Kiryat Ono
    Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
  • D. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • E. Keren Hayesod
    Keren Hayesod is a central fundraising organization for Israel and the Jewish people worldwide, supporting immigration, settlement, and social development projects in partnership with major Zionist institutions.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad2550c88190a624eb5627d472ad completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad013923908190b20e11e14df7fa14 completed March 8, 2026, 4:55 a.m.
NEDg Description generation batch_69ad023e877c81909e4f8712db9610f4 completed March 8, 2026, 4:59 a.m.
NED2 Entity disambiguation (via description) batch_69ad02898c388190a76924e90c8d9a11 completed March 8, 2026, 5 a.m.
Created at: March 1, 2026, 7:39 p.m.