Triple

T7036593
Position Surface form Disambiguated ID Type / Status
Subject Givat Ram E163399 entity
Predicate adjacentTo P224 FINISHED
Object Nayot
Nayot is a residential neighborhood in western Jerusalem, Israel, known for its proximity to major cultural and governmental institutions.
 E638063 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: Nayot | Statement: [Givat Ram, adjacentTo, Nayot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nayot
Context triple: [Givat Ram, adjacentTo, Nayot]
  • A. Nozay
    Nozay is a small commune in the Essonne department of the Île-de-France region in northern France.
  • B. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • C. Nain
    Nain is a renowned Iranian town famous for producing high-quality, finely knotted Persian carpets characterized by intricate designs and a typically light color palette.
  • D. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • E. Nakai
    Nakai is a small town in Kanagawa Prefecture, Japan, known for its rural character and proximity to larger cities like Hadano.
  • 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: Nayot
Triple: [Givat Ram, adjacentTo, Nayot]
Generated description
Nayot is a residential neighborhood in western Jerusalem, Israel, known for its proximity to major cultural and governmental institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nayot
Target entity description: Nayot is a residential neighborhood in western Jerusalem, Israel, known for its proximity to major cultural and governmental institutions.
  • A. Nozay
    Nozay is a small commune in the Essonne department of the Île-de-France region in northern France.
  • B. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • C. Nain
    Nain is a renowned Iranian town famous for producing high-quality, finely knotted Persian carpets characterized by intricate designs and a typically light color palette.
  • D. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • E. Nakai
    Nakai is a small town in Kanagawa Prefecture, Japan, known for its rural character and proximity to larger cities like Hadano.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e220508c8190b8950cf38280b8c2 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c78863c2fc8190b9b54613968742e1 completed March 28, 2026, 7:50 a.m.
NEDg Description generation batch_69c78905c75c81908bee9a9000e05bd6 completed March 28, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69c789ecb50c8190b67bc1152b33d1eb completed March 28, 2026, 7:57 a.m.
Created at: March 27, 2026, 2:36 p.m.