Triple

T5744997
Position Surface form Disambiguated ID Type / Status
Subject Central District, Israel E126708 entity
Predicate containsCity P294 FINISHED
Object Hadera
Hadera is a coastal city in northern Israel known for its power station, beaches, and location between Tel Aviv and Haifa.
 E563312 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: Hadera | Statement: [Central District, Israel, containsCity, Hadera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hadera
Context triple: [Central District, Israel, containsCity, Hadera]
  • A. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • B. Ramat Gan
    Ramat Gan is a city in the Tel Aviv District of Israel, known for its diamond exchange district, business centers, and large urban park.
  • C. Kiryat Ono
    Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
  • D. بئر السبع
    بئر السبع هي مدينة تقع في جنوب فلسطين التاريخية وتُعد مركزًا حضريًا رئيسيًا في منطقة النقب.
  • E. Kiryat Gat
    Kiryat Gat is a city in south-central Israel known for its industrial zones, high-tech facilities, and location between the coastal plain and the Negev desert.
  • 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: Hadera
Triple: [Central District, Israel, containsCity, Hadera]
Generated description
Hadera is a coastal city in northern Israel known for its power station, beaches, and location between Tel Aviv and Haifa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hadera
Target entity description: Hadera is a coastal city in northern Israel known for its power station, beaches, and location between Tel Aviv and Haifa.
  • A. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • B. Ramat Gan
    Ramat Gan is a city in the Tel Aviv District of Israel, known for its diamond exchange district, business centers, and large urban park.
  • C. Kiryat Ono
    Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
  • D. بئر السبع
    بئر السبع هي مدينة تقع في جنوب فلسطين التاريخية وتُعد مركزًا حضريًا رئيسيًا في منطقة النقب.
  • E. Kiryat Gat
    Kiryat Gat is a city in south-central Israel known for its industrial zones, high-tech facilities, and location between the coastal plain and the Negev desert.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025883b608190b21523da2afde218 completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1133e346881909a3c07c692f8ef54 completed March 23, 2026, 10:17 a.m.
NEDg Description generation batch_69c113c9bc048190ab517300d56dd8e0 completed March 23, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_69c1144e77f881908ab59a67160c1630 completed March 23, 2026, 10:22 a.m.
Created at: March 22, 2026, 3:48 p.m.