Triple

T7184084
Position Surface form Disambiguated ID Type / Status
Subject שדה בוקר E167524 entity
Predicate hasTouristAttraction P530 FINISHED
Object קבר בן-גוריון
קבר בן-גוריון הוא אתר הנצחה וקבורה לאומי בנגב, שבו קבורים דוד בן-גוריון ורעייתו פאולה ומשקיף על נוף מדבר צין.
E648021 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: קבר בן-גוריון | Statement: [שדה בוקר, hasTouristAttraction, קבר בן-גוריון]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: קבר בן-גוריון
Context triple: [שדה בוקר, hasTouristAttraction, קבר בן-גוריון]
  • A. Pinhas Lavon
    Pinhas Lavon was an Israeli politician and trade union leader who served as Israel’s Minister of Defense in the 1950s and was central to the “Lavon Affair” political scandal.
  • B. Yitzhak
    Yitzhak is a Hebrew given name traditionally associated with the biblical patriarch Isaac and commonly used in Jewish communities.
  • C. Yigal Allon
    Yigal Allon was an Israeli military commander, Palmach leader, and politician who served in senior government roles, including acting prime minister.
  • D. Ehud Dayan
    Ehud Dayan is one of the children of famed Israeli military leader and politician Moshe Dayan.
  • E. Moshe Dayan
    Moshe Dayan was an Israeli military leader and politician, famed for his role in shaping Israel’s defense strategy and his iconic eye-patch symbolizing the country’s early wars.
  • 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: קבר בן-גוריון
Triple: [שדה בוקר, hasTouristAttraction, קבר בן-גוריון]
Generated description
קבר בן-גוריון הוא אתר הנצחה וקבורה לאומי בנגב, שבו קבורים דוד בן-גוריון ורעייתו פאולה ומשקיף על נוף מדבר צין.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: קבר בן-גוריון
Target entity description: קבר בן-גוריון הוא אתר הנצחה וקבורה לאומי בנגב, שבו קבורים דוד בן-גוריון ורעייתו פאולה ומשקיף על נוף מדבר צין.
  • A. Pinhas Lavon
    Pinhas Lavon was an Israeli politician and trade union leader who served as Israel’s Minister of Defense in the 1950s and was central to the “Lavon Affair” political scandal.
  • B. Yitzhak
    Yitzhak is a Hebrew given name traditionally associated with the biblical patriarch Isaac and commonly used in Jewish communities.
  • C. Yigal Allon
    Yigal Allon was an Israeli military commander, Palmach leader, and politician who served in senior government roles, including acting prime minister.
  • D. Ehud Dayan
    Ehud Dayan is one of the children of famed Israeli military leader and politician Moshe Dayan.
  • E. Moshe Dayan
    Moshe Dayan was an Israeli military leader and politician, famed for his role in shaping Israel’s defense strategy and his iconic eye-patch symbolizing the country’s early wars.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8de114c8190ad8fde0654526482 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf8d76ac8190a2e29f2650e7af28 completed March 28, 2026, 11:46 a.m.
NEDg Description generation batch_69c7bff630d88190a8c8d4194a1fe763 completed March 28, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69c7c05fd088819083df4c7167216ca2 completed March 28, 2026, 11:49 a.m.
Created at: March 27, 2026, 2:49 p.m.