Triple

T19387002
Position Surface form Disambiguated ID Type / Status
Subject Sharon plain E484960 entity
Predicate hasTown P847 FINISHED
Object Tira
Tira is a town located in central Israel’s Sharon plain, known for its predominantly Arab population and proximity to major urban centers.
 E1373089 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: Tira | Statement: [Sharon plain, hasTown, Tira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tira
Context triple: [Sharon plain, hasTown, Tira]
  • A. Ta’aisha
    The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
  • B. Tiko
    Tiko is a coastal town and port in southwestern Cameroon known for its agricultural activities and role as a transport hub.
  • C. Tanto
    Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
  • D. Talino
    Talino is the protagonist of the Italian work "Paesi tuoi," around whom the story’s central events and themes revolve.
  • E. Toshi
    Toshi is a Japanese given name commonly used for both males and females, often as a short form of longer names such as Toshiro or Toshiko.
  • 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: Tira
Triple: [Sharon plain, hasTown, Tira]
Generated description
Tira is a town located in central Israel’s Sharon plain, known for its predominantly Arab population and proximity to major urban centers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tira
Target entity description: Tira is a town located in central Israel’s Sharon plain, known for its predominantly Arab population and proximity to major urban centers.
  • A. Ta’aisha
    The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
  • B. Tiko
    Tiko is a coastal town and port in southwestern Cameroon known for its agricultural activities and role as a transport hub.
  • C. Tanto
    Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
  • D. Talino
    Talino is the protagonist of the Italian work "Paesi tuoi," around whom the story’s central events and themes revolve.
  • E. Toshi
    Toshi is a Japanese given name commonly used for both males and females, often as a short form of longer names such as Toshiro or Toshiko.
  • 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.