Triple

T9598507
Position Surface form Disambiguated ID Type / Status
Subject Gush Etzion E231791 entity
Predicate hasMajorSettlement P316 FINISHED
Object Neve Daniel
Neve Daniel is an Israeli settlement in the West Bank known for its elevated location, scenic views, and predominantly religious Zionist community.
E808935 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: Neve Daniel | Statement: [Gush Etzion, hasMajorSettlement, Neve Daniel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neve Daniel
Context triple: [Gush Etzion, hasMajorSettlement, Neve Daniel]
  • A. Nicole Fugere
    Nicole Fugere is an American actress best known for playing Wednesday Addams in late-1990s Addams Family television projects.
  • B. Brooke Nevin
    Brooke Nevin is a Canadian actress known for her work in television dramas and films, including prominent roles in series like Breakout Kings.
  • C. Danna
    Danna is the surname of Mychael Danna, a Canadian composer renowned for his innovative and atmospheric film scores.
  • D. N’Dare Munroe
    N’Dare Munroe is the Kenyan tribal princess and mother of the X-Men member Storm (Ororo Munroe) in Marvel Comics lore.
  • E. Danielle Vitalis
    Danielle Vitalis is a British actress known for her role in the sci-fi comedy film "Attack the Block" and appearances in various UK television series.
  • 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: Neve Daniel
Triple: [Gush Etzion, hasMajorSettlement, Neve Daniel]
Generated description
Neve Daniel is an Israeli settlement in the West Bank known for its elevated location, scenic views, and predominantly religious Zionist community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Neve Daniel
Target entity description: Neve Daniel is an Israeli settlement in the West Bank known for its elevated location, scenic views, and predominantly religious Zionist community.
  • A. Nicole Fugere
    Nicole Fugere is an American actress best known for playing Wednesday Addams in late-1990s Addams Family television projects.
  • B. Brooke Nevin
    Brooke Nevin is a Canadian actress known for her work in television dramas and films, including prominent roles in series like Breakout Kings.
  • C. Danna
    Danna is the surname of Mychael Danna, a Canadian composer renowned for his innovative and atmospheric film scores.
  • D. N’Dare Munroe
    N’Dare Munroe is the Kenyan tribal princess and mother of the X-Men member Storm (Ororo Munroe) in Marvel Comics lore.
  • E. Danielle Vitalis
    Danielle Vitalis is a British actress known for her role in the sci-fi comedy film "Attack the Block" and appearances in various UK television series.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a366d3481908db62e476958eafe completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1619f4170819092ae90b2896b0855 completed April 4, 2026, 7:08 p.m.
NEDg Description generation batch_69d163c1abfc8190baae07681ea13104 completed April 4, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_69d16476b9188190ab28efb0433c99b0 completed April 4, 2026, 7:20 p.m.
Created at: March 30, 2026, 8:07 p.m.