Triple

T7036594
Position Surface form Disambiguated ID Type / Status
Subject Givat Ram E163399 entity
Predicate adjacentTo P224 FINISHED
Object Kiryat Moshe
Kiryat Moshe is a residential neighborhood in western Jerusalem, known for its religious communities and proximity to major educational and governmental institutions.
E647945 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: Kiryat Moshe | Statement: [Givat Ram, adjacentTo, Kiryat Moshe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiryat Moshe
Context triple: [Givat Ram, adjacentTo, Kiryat Moshe]
  • A. Kiryat Moshe
    Kiryat Moshe is a residential neighborhood in the central Israeli city of Rehovot.
  • B. Kiryat Haim
    Kiryat Haim is a coastal neighborhood in the northern Israeli city of Haifa, known for its beachfront, residential character, and proximity to the Haifa Bay industrial and port areas.
  • C. Kiryat Shmona
    Kiryat Shmona is a northern Israeli city near the Lebanese border, known for its strategic location and frequent exposure to cross-border conflict.
  • D. Kiryat David
    Kiryat David is a residential neighborhood in the city of Rehovot, Israel.
  • E. Kiryat Malakhi
    Kiryat Malakhi is a small city in southern Israel, known for its diverse immigrant population and location near Ashkelon and Kiryat Gat.
  • 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: Kiryat Moshe
Triple: [Givat Ram, adjacentTo, Kiryat Moshe]
Generated description
Kiryat Moshe is a residential neighborhood in western Jerusalem, known for its religious communities and proximity to major educational and governmental institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kiryat Moshe
Target entity description: Kiryat Moshe is a residential neighborhood in western Jerusalem, known for its religious communities and proximity to major educational and governmental institutions.
  • A. Kiryat Moshe
    Kiryat Moshe is a residential neighborhood in the central Israeli city of Rehovot.
  • B. Kiryat Haim
    Kiryat Haim is a coastal neighborhood in the northern Israeli city of Haifa, known for its beachfront, residential character, and proximity to the Haifa Bay industrial and port areas.
  • C. Kiryat Shmona
    Kiryat Shmona is a northern Israeli city near the Lebanese border, known for its strategic location and frequent exposure to cross-border conflict.
  • D. Kiryat David
    Kiryat David is a residential neighborhood in the city of Rehovot, Israel.
  • E. Kiryat Malakhi
    Kiryat Malakhi is a small city in southern Israel, known for its diverse immigrant population and location near Ashkelon and Kiryat Gat.
  • 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_69c7bf7363b88190a082915ebac4f575 completed March 28, 2026, 11:45 a.m.
NEDg Description generation batch_69c7bfe7143481908c4da6b67f47f19e completed March 28, 2026, 11:47 a.m.
NED2 Entity disambiguation (via description) batch_69c7c05fd088819083df4c7167216ca2 completed March 28, 2026, 11:49 a.m.
Created at: March 27, 2026, 2:36 p.m.