Triple

T19387004
Position Surface form Disambiguated ID Type / Status
Subject Sharon plain E484960 entity
Predicate hasTown P847 FINISHED
Object Tayibe
Tayibe is a predominantly Arab city in central Israel, known for its location in the Triangle region and its role as a cultural and economic center for the local Arab community.
 E1373091 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: Tayibe | Statement: [Sharon plain, hasTown, Tayibe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tayibe
Context triple: [Sharon plain, hasTown, Tayibe]
  • A. Sawila
    Sawila is a Papuan language spoken on Alor Island in eastern Indonesia, known for its complex verb morphology and membership in the Alor–Pantar language family.
  • B. Rumaitha
    Rumaitha is a town in southern Iraq notable as one of the centers of resistance during the 1920 Iraqi revolt against British rule.
  • C. Zahwa
    Zahwa is a feminine given name of Arabic origin, often interpreted to mean "radiance" or "beauty."
  • D. Ruhaya
    Ruhaya is a Bantu language spoken primarily by the Haya people of northwestern Tanzania.
  • E. Rabia
    Rabia is the central protagonist of the Turkish novel "Sinekli Bakkal," depicted as a spiritually gifted and morally steadfast young woman navigating the social and cultural tensions of late Ottoman Istanbul.
  • 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: Tayibe
Triple: [Sharon plain, hasTown, Tayibe]
Generated description
Tayibe is a predominantly Arab city in central Israel, known for its location in the Triangle region and its role as a cultural and economic center for the local Arab community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tayibe
Target entity description: Tayibe is a predominantly Arab city in central Israel, known for its location in the Triangle region and its role as a cultural and economic center for the local Arab community.
  • A. Sawila
    Sawila is a Papuan language spoken on Alor Island in eastern Indonesia, known for its complex verb morphology and membership in the Alor–Pantar language family.
  • B. Rumaitha
    Rumaitha is a town in southern Iraq notable as one of the centers of resistance during the 1920 Iraqi revolt against British rule.
  • C. Zahwa
    Zahwa is a feminine given name of Arabic origin, often interpreted to mean "radiance" or "beauty."
  • D. Ruhaya
    Ruhaya is a Bantu language spoken primarily by the Haya people of northwestern Tanzania.
  • E. Rabia
    Rabia is the central protagonist of the Turkish novel "Sinekli Bakkal," depicted as a spiritually gifted and morally steadfast young woman navigating the social and cultural tensions of late Ottoman Istanbul.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b418f148190972b7b46038bc744 completed April 20, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072b82d6008190b26d95f4356afe5c completed May 15, 2026, 2:19 p.m.
NEDg Description generation batch_6a072c5c67d48190a393eef73abb8aba completed May 15, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_6a072ccebb388190b48c181017d95290 completed May 15, 2026, 2:25 p.m.
Created at: April 10, 2026, 1:36 p.m.