Triple

T1269738
Position Surface form Disambiguated ID Type / Status
Subject Tevet E15681 entity
Predicate transliterationVariant P5923 FINISHED
Object Teves
Teves is an alternative Ashkenazi transliteration of the Hebrew month name Tevet, used in the Jewish calendar.
E145703 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: Teves | Statement: [Tevet, transliterationVariant, Teves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teves
Context triple: [Tevet, transliterationVariant, Teves]
  • A. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • B. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • C. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • D. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • E. Teos
    Teos was an ancient Ionian Greek city on the western coast of Asia Minor, known as the hometown of the lyric poet Anacreon.
  • 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: Teves
Triple: [Tevet, transliterationVariant, Teves]
Generated description
Teves is an alternative Ashkenazi transliteration of the Hebrew month name Tevet, used in the Jewish calendar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teves
Target entity description: Teves is an alternative Ashkenazi transliteration of the Hebrew month name Tevet, used in the Jewish calendar.
  • A. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • B. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • C. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • D. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • E. Teos
    Teos was an ancient Ionian Greek city on the western coast of Asia Minor, known as the hometown of the lyric poet Anacreon.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c0691d70819088e57c78ff34af1e completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2f49a98819083dacff7e76ad195 completed March 7, 2026, 10:13 p.m.
NEDg Description generation batch_69aca38229108190b8cc2e0ef5bc8667 completed March 7, 2026, 10:15 p.m.
NED2 Entity disambiguation (via description) batch_69aca40068f08190a49f9cbb5c78b471 completed March 7, 2026, 10:17 p.m.
Created at: March 1, 2026, 7:50 p.m.