Triple

T1269736
Position Surface form Disambiguated ID Type / Status
Subject Tevet E15681 entity
Predicate languageForm P6281 FINISHED
Object טֵבֵת
טֵבֵת הוא החודש העשירי בלוח השנה העברי, החל בדרך כלל בדצמבר–ינואר בלוח הגרגוריאני.
 E144560 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: טֵבֵת | Statement: [Tevet, languageForm, טֵבֵת]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: טֵבֵת
Context triple: [Tevet, languageForm, טֵבֵת]
  • A. Zein
    Zein is the given name of Queen Zein al-Sharaf, a prominent 20th-century queen of Jordan known for her social and political influence.
  • B. Faetar
    Faetar is a rare Romance language variety spoken by a small Franco-Provençal community in southern Italy, notable for preserving archaic features within an Italo-Romance environment.
  • C. Salo
    Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
  • D. Oshpitsin
    Oshpitsin is the Yiddish name for the Polish town of Oświęcim, historically known for its significant Jewish community and later for the nearby Auschwitz concentration camp.
  • E. Betul
    Betul is a town and administrative center in central India, known for its location in the Satpura plateau region of Madhya Pradesh.
  • 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: טֵבֵת
Triple: [Tevet, languageForm, טֵבֵת]
Generated description
טֵבֵת הוא החודש העשירי בלוח השנה העברי, החל בדרך כלל בדצמבר–ינואר בלוח הגרגוריאני.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: טֵבֵת
Target entity description: טֵבֵת הוא החודש העשירי בלוח השנה העברי, החל בדרך כלל בדצמבר–ינואר בלוח הגרגוריאני.
  • A. Zein
    Zein is the given name of Queen Zein al-Sharaf, a prominent 20th-century queen of Jordan known for her social and political influence.
  • B. Faetar
    Faetar is a rare Romance language variety spoken by a small Franco-Provençal community in southern Italy, notable for preserving archaic features within an Italo-Romance environment.
  • C. Salo
    Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
  • D. Oshpitsin
    Oshpitsin is the Yiddish name for the Polish town of Oświęcim, historically known for its significant Jewish community and later for the nearby Auschwitz concentration camp.
  • E. Betul
    Betul is a town and administrative center in central India, known for its location in the Satpura plateau region of Madhya Pradesh.
  • 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_69ac998b819c8190ad5a4095d31b5cb1 completed March 7, 2026, 9:32 p.m.
NEDg Description generation batch_69ac9a13e9548190ae1fbfeba3326cd5 completed March 7, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69ac9a96d4f081908e608a3f247bbfb2 completed March 7, 2026, 9:37 p.m.
Created at: March 1, 2026, 7:50 p.m.