Triple

T3553786
Position Surface form Disambiguated ID Type / Status
Subject Nyon E75171 entity
Predicate hasTwinTown P919 FINISHED
Object 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.
 E367066 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: Ramat Hasharon | Statement: [Nyon, hasTwinTown, Ramat Hasharon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ramat Hasharon
Context triple: [Nyon, hasTwinTown, Ramat Hasharon]
  • A. 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.
  • B. Tel HaShomer
    Tel HaShomer is a neighborhood in Ramat Gan, Israel, best known for its major military base and large government-run hospital complex.
  • C. 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.
  • D. Rehovot
    Rehovot is a city in central Israel known for its scientific and agricultural research institutions, including the Weizmann Institute of Science.
  • E. Givat Shaul
    Givat Shaul is a neighborhood in western Jerusalem known for its mix of residential areas, industrial zones, and various governmental and institutional facilities.
  • 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: Ramat Hasharon
Triple: [Nyon, hasTwinTown, Ramat Hasharon]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ramat Hasharon
Target entity description: 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.
  • A. 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.
  • B. Tel HaShomer
    Tel HaShomer is a neighborhood in Ramat Gan, Israel, best known for its major military base and large government-run hospital complex.
  • C. 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.
  • D. Rehovot
    Rehovot is a city in central Israel known for its scientific and agricultural research institutions, including the Weizmann Institute of Science.
  • E. Givat Shaul
    Givat Shaul is a neighborhood in western Jerusalem known for its mix of residential areas, industrial zones, and various governmental and institutional facilities.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc05394888190b59fafda97b49beb completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38beef8b4819090109ab89e9671d6 completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c84fc788190a074f14a76bb7944 completed March 13, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69b38cb872948190a75bc6d6829187c5 completed March 13, 2026, 4:04 a.m.
Created at: March 8, 2026, 3:20 p.m.