Triple

T12712895
Position Surface form Disambiguated ID Type / Status
Subject Hashomer E303765 entity
Predicate headquartersLocation P62 FINISHED
Object Sejera
Sejera was an early 20th-century agricultural settlement in Ottoman Palestine that became a key base for the Jewish self-defense organization Hashomer.
 E996915 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: Sejera | Statement: [Hashomer, headquartersLocation, Sejera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sejera
Context triple: [Hashomer, headquartersLocation, Sejera]
  • A. Sa'ir
    Sa'ir is a Palestinian town located in the southern West Bank, northeast of Hebron.
  • B. Sejnane
    Sejnane is a town in northern Tunisia known for its traditional handmade pottery and rural landscapes.
  • C. Seirah
    Seirah is a biblical location mentioned in the Hebrew Bible as a place of refuge associated with the judge Ehud.
  • D. Shere
    Shere is a locality within Nigeria’s Federal Capital Territory, situated under the administration of Bwari Area Council near Abuja.
  • E. Shere
    Shere is a picturesque village in Surrey, England, known for its historic buildings, scenic countryside setting, and frequent use as a filming location.
  • 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: Sejera
Triple: [Hashomer, headquartersLocation, Sejera]
Generated description
Sejera was an early 20th-century agricultural settlement in Ottoman Palestine that became a key base for the Jewish self-defense organization Hashomer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sejera
Target entity description: Sejera was an early 20th-century agricultural settlement in Ottoman Palestine that became a key base for the Jewish self-defense organization Hashomer.
  • A. Sa'ir
    Sa'ir is a Palestinian town located in the southern West Bank, northeast of Hebron.
  • B. Sejnane
    Sejnane is a town in northern Tunisia known for its traditional handmade pottery and rural landscapes.
  • C. Seirah
    Seirah is a biblical location mentioned in the Hebrew Bible as a place of refuge associated with the judge Ehud.
  • D. Shere
    Shere is a locality within Nigeria’s Federal Capital Territory, situated under the administration of Bwari Area Council near Abuja.
  • E. Shere
    Shere is a picturesque village in Surrey, England, known for its historic buildings, scenic countryside setting, and frequent use as a filming location.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96208fa6481909d6fd43654752a2d completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b8f43081909d4a8e4241c813a1 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f672ac07908190bd2dfe90d55a13c1 completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f67360b530819085d5db2aa0b7513d completed May 2, 2026, 9:57 p.m.
Created at: April 9, 2026, 5:23 p.m.