Triple

T1250936
Position Surface form Disambiguated ID Type / Status
Subject Telugu script E26871 entity
Predicate ISO15924Code P208 FINISHED
Object Telu
Telu is the ISO 15924 four-letter code that represents the Telugu script used for writing the Telugu language and several other South Asian languages.
E144002 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: Telu | Statement: [Telugu script, ISO15924Code, Telu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telu
Context triple: [Telugu script, ISO15924Code, Telu]
  • A. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • B. Telarah
    Telarah is a residential suburb in the City of Maitland in the Hunter Region of New South Wales, Australia.
  • C. Tola
    Tola is a minor judge of Israel mentioned in the biblical Book of Judges, known for leading and delivering Israel for 23 years after the time of Abimelech.
  • D. Uatsdin
    Uatsdin is the modern revival of the indigenous Ossetian ethnic religion, centered on traditional deities, rituals, and ancestral customs of the Ossetian people.
  • E. Taree
    Taree is a regional town in New South Wales, Australia, situated on the Manning River and serving as a commercial and service hub for the surrounding agricultural and coastal communities.
  • 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: Telu
Triple: [Telugu script, ISO15924Code, Telu]
Generated description
Telu is the ISO 15924 four-letter code that represents the Telugu script used for writing the Telugu language and several other South Asian languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Telu
Target entity description: Telu is the ISO 15924 four-letter code that represents the Telugu script used for writing the Telugu language and several other South Asian languages.
  • A. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • B. Telarah
    Telarah is a residential suburb in the City of Maitland in the Hunter Region of New South Wales, Australia.
  • C. Tola
    Tola is a minor judge of Israel mentioned in the biblical Book of Judges, known for leading and delivering Israel for 23 years after the time of Abimelech.
  • D. Uatsdin
    Uatsdin is the modern revival of the indigenous Ossetian ethnic religion, centered on traditional deities, rituals, and ancestral customs of the Ossetian people.
  • E. Taree
    Taree is a regional town in New South Wales, Australia, situated on the Manning River and serving as a commercial and service hub for the surrounding agricultural and coastal communities.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf84c73c8190bbb14265cd7ab6ae completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93c66bf881908f4b63548341178e completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac943de3f0819085dff5ef12f01766 completed March 7, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69ac95c05ab081909db602d7bea73bf4 completed March 7, 2026, 9:16 p.m.
Created at: March 1, 2026, 7:47 p.m.