Triple

T3649631
Position Surface form Disambiguated ID Type / Status
Subject Tel Aviv District E77387 entity
Predicate contains P35 FINISHED
Object Azor
Azor is a small suburban town in central Israel, located just southeast of Tel Aviv.
 E376494 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: Azor | Statement: [Tel Aviv District, contains, Azor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Azor
Context triple: [Tel Aviv District, contains, Azor]
  • A. Alor
    Alor is an island in eastern Indonesia known for its rugged terrain, rich marine biodiversity, and traditional indigenous cultures.
  • B. Sardoal
    Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
  • C. Aleosan
    Aleosan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known for its agricultural economy and diverse local communities.
  • D. Ziria
    Ziria is a mountain in the northeastern Peloponnese of Greece, traditionally identified with Mount Cyllene, which is famed in Greek mythology as the birthplace of the god Hermes.
  • E. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • 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: Azor
Triple: [Tel Aviv District, contains, Azor]
Generated description
Azor is a small suburban town in central Israel, located just southeast of Tel Aviv.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Azor
Target entity description: Azor is a small suburban town in central Israel, located just southeast of Tel Aviv.
  • A. Alor
    Alor is an island in eastern Indonesia known for its rugged terrain, rich marine biodiversity, and traditional indigenous cultures.
  • B. Sardoal
    Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
  • C. Aleosan
    Aleosan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known for its agricultural economy and diverse local communities.
  • D. Ziria
    Ziria is a mountain in the northeastern Peloponnese of Greece, traditionally identified with Mount Cyllene, which is famed in Greek mythology as the birthplace of the god Hermes.
  • E. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38fa1988190b630329700afc3dd completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f4002948190af41072962006f51 completed March 13, 2026, 5:54 p.m.
NEDg Description generation batch_69b4531590408190b6048b6b0335eb0a completed March 13, 2026, 6:10 p.m.
NED2 Entity disambiguation (via description) batch_69b466719c788190a70d8338b45c28ab completed March 13, 2026, 7:33 p.m.
Created at: March 8, 2026, 3:24 p.m.