Triple

T8393538
Position Surface form Disambiguated ID Type / Status
Subject Mount Ebal E197998 entity
Predicate HebrewName P1435 FINISHED
Object הר עיבל
הר עיבל הוא הר בשומרון שבגדה המערבית, הידוע כמקום טקס הברכה והקללה בספר יהושע וכאתר ארכאולוגי חשוב מתקופת ישראל הקדומה.
 E730952 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: הר עיבל | Statement: [Mount Ebal, HebrewName, הר עיבל]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: הר עיבל
Context triple: [Mount Ebal, HebrewName, הר עיבל]
  • A. Shaar HaKeniah
    Shaar HaKeniah is a section of the classic Jewish ethical work Chovot HaLevavot that focuses on the virtue and practice of humility.
  • B. גבעת רם
    גבעת רם היא שכונה בירושלים שבה שוכן קמפוס גבעת רם של האוניברסיטה העברית ומוסדות לאומיים מרכזיים כמו הכנסת ומוזיאון ישראל.
  • C. Sde Boqer
    Sde Boqer is a kibbutz in Israel’s Negev desert best known as the retirement home and burial place of the country’s first prime minister, David Ben-Gurion.
  • D. Nahal Arugot
    Nahal Arugot is a desert stream and hiking gorge in the Ein Gedi area near the Dead Sea, known for its waterfalls, natural pools, and dramatic canyon scenery.
  • E. Gush Dan
    Gush Dan is the densely populated metropolitan area centered around Tel Aviv on Israel’s Mediterranean coast, encompassing numerous surrounding cities and suburbs.
  • 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: הר עיבל
Triple: [Mount Ebal, HebrewName, הר עיבל]
Generated description
הר עיבל הוא הר בשומרון שבגדה המערבית, הידוע כמקום טקס הברכה והקללה בספר יהושע וכאתר ארכאולוגי חשוב מתקופת ישראל הקדומה.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: הר עיבל
Target entity description: הר עיבל הוא הר בשומרון שבגדה המערבית, הידוע כמקום טקס הברכה והקללה בספר יהושע וכאתר ארכאולוגי חשוב מתקופת ישראל הקדומה.
  • A. Shaar HaKeniah
    Shaar HaKeniah is a section of the classic Jewish ethical work Chovot HaLevavot that focuses on the virtue and practice of humility.
  • B. גבעת רם
    גבעת רם היא שכונה בירושלים שבה שוכן קמפוס גבעת רם של האוניברסיטה העברית ומוסדות לאומיים מרכזיים כמו הכנסת ומוזיאון ישראל.
  • C. Sde Boqer
    Sde Boqer is a kibbutz in Israel’s Negev desert best known as the retirement home and burial place of the country’s first prime minister, David Ben-Gurion.
  • D. Nahal Arugot
    Nahal Arugot is a desert stream and hiking gorge in the Ein Gedi area near the Dead Sea, known for its waterfalls, natural pools, and dramatic canyon scenery.
  • E. Gush Dan
    Gush Dan is the densely populated metropolitan area centered around Tel Aviv on Israel’s Mediterranean coast, encompassing numerous surrounding cities and suburbs.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8184788081909e9857afff629985 completed March 31, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde856a6548190b46e0d8e5cda381b completed April 2, 2026, 3:53 a.m.
NEDg Description generation batch_69cdebfc63e8819087f5c1d588b58e21 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cded77618c81909e8786ccd2f3e4b6 completed April 2, 2026, 4:15 a.m.
Created at: March 30, 2026, 6:03 p.m.