Triple

T21649052
Position Surface form Disambiguated ID Type / Status
Subject מדבר סיני E534288 entity
Predicate hasCity P316 FINISHED
Object טאבה
טאבה היא עיירת נופש מצרית קטנה על חוף מפרץ אילת, סמוך לגבול ישראל–מצרים, המוכרת בעיקר כיעד תיירותי ונקודת מעבר גבול.
 E1494761 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: טאבה | Statement: [מדבר סיני, hasCity, טאבה]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: טאבה
Context triple: [מדבר סיני, hasCity, טאבה]
  • A. Tebaide
    Tebaide is the Italian title of "Thebaid," an epic poem by the Roman poet Statius centered on the mythic conflict between the sons of Oedipus for the throne of Thebes.
  • B. Toabaita
    Toabaita is an Oceanic language spoken in the Solomon Islands, primarily on Malaita Island.
  • C. Taba-ao
    Taba-ao is a barangay (village-level administrative division) of the municipality of Sagay in the Philippines.
  • D. Tabasalu
    Tabasalu is a small town in northern Estonia that serves as the main local hub for the surrounding Harku Parish near the capital, Tallinn.
  • E. Tahkuna
    Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
  • 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: טאבה
Triple: [מדבר סיני, hasCity, טאבה]
Generated description
טאבה היא עיירת נופש מצרית קטנה על חוף מפרץ אילת, סמוך לגבול ישראל–מצרים, המוכרת בעיקר כיעד תיירותי ונקודת מעבר גבול.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: טאבה
Target entity description: טאבה היא עיירת נופש מצרית קטנה על חוף מפרץ אילת, סמוך לגבול ישראל–מצרים, המוכרת בעיקר כיעד תיירותי ונקודת מעבר גבול.
  • A. Tebaide
    Tebaide is the Italian title of "Thebaid," an epic poem by the Roman poet Statius centered on the mythic conflict between the sons of Oedipus for the throne of Thebes.
  • B. Toabaita
    Toabaita is an Oceanic language spoken in the Solomon Islands, primarily on Malaita Island.
  • C. Taba-ao
    Taba-ao is a barangay (village-level administrative division) of the municipality of Sagay in the Philippines.
  • D. Tabasalu
    Tabasalu is a small town in northern Estonia that serves as the main local hub for the surrounding Harku Parish near the capital, Tallinn.
  • E. Tahkuna
    Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef59131c88819082df8e5b87f5954b completed April 27, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0fa684408190a3b1fa9b17df4057 completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a11148bac8190b328be525f03666d completed May 17, 2026, 7:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0a11821c148190be5c4f87cdeae923 completed May 17, 2026, 7:05 p.m.
Created at: April 16, 2026, 6:35 p.m.