Triple

T13050624
Position Surface form Disambiguated ID Type / Status
Subject Jephthah E327438 entity
Predicate livedIn P75 FINISHED
Object land of Tob
The land of Tob is a region mentioned in the Hebrew Bible as a place east of the Jordan River where outcasts and warriors, including Jephthah, gathered.
E1018063 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: land of Tob | Statement: [Jephthah, livedIn, land of Tob]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: land of Tob
Context triple: [Jephthah, livedIn, land of Tob]
  • A. Kamperland
    Kamperland is a village in the Dutch province of Zeeland, located on the island of Noord-Beveland and known as a coastal and recreational destination.
  • B. Arelerland
    Arelerland is a historical region in southeastern Belgium, centered around the town of Arlon and known for its Luxembourgish cultural and linguistic heritage.
  • C. Worimi land
    Worimi land refers to the traditional Country of the Worimi people, an Aboriginal nation of the New South Wales mid-north coast region in Australia.
  • D. Backaland
    Backaland is a small settlement on the Orkney island of Eday in Scotland.
  • E. Terra do Sal
    Terra do Sal is a nickname for Mossoró, a city in Brazil’s Rio Grande do Norte state known for its significant salt production.
  • 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: land of Tob
Triple: [Jephthah, livedIn, land of Tob]
Generated description
The land of Tob is a region mentioned in the Hebrew Bible as a place east of the Jordan River where outcasts and warriors, including Jephthah, gathered.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: land of Tob
Target entity description: The land of Tob is a region mentioned in the Hebrew Bible as a place east of the Jordan River where outcasts and warriors, including Jephthah, gathered.
  • A. Kamperland
    Kamperland is a village in the Dutch province of Zeeland, located on the island of Noord-Beveland and known as a coastal and recreational destination.
  • B. Arelerland
    Arelerland is a historical region in southeastern Belgium, centered around the town of Arlon and known for its Luxembourgish cultural and linguistic heritage.
  • C. Worimi land
    Worimi land refers to the traditional Country of the Worimi people, an Aboriginal nation of the New South Wales mid-north coast region in Australia.
  • D. Backaland
    Backaland is a small settlement on the Orkney island of Eday in Scotland.
  • E. Terra do Sal
    Terra do Sal is a nickname for Mossoró, a city in Brazil’s Rio Grande do Norte state known for its significant salt production.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b98fa081908cfa92116799e874 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbda9b548190a10a4835b2c75fdc completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd0e88e08190a07468336bb624f0 completed May 3, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce2c7630819091433543dfdf8402 completed May 3, 2026, 4:25 a.m.
Created at: April 9, 2026, 8:57 p.m.