Triple

T764261
Position Surface form Disambiguated ID Type / Status
Subject Nicobarese E16139 entity
Predicate hasDialect P4251 FINISHED
Object Teressa
Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
 E109218 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: Teressa | Statement: [Nicobarese, hasDialect, Teressa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Teressa
Context triple: [Nicobarese, hasDialect, Teressa]
  • A. Teresa
    Teresa is the religious name of Mother Teresa, the Catholic nun and missionary renowned for her charitable work with the poor in Kolkata, India.
  • B. Timothea
    Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
  • C. Valeria
    Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
  • D. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • E. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • 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: Teressa
Triple: [Nicobarese, hasDialect, Teressa]
Generated description
Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Teressa
Target entity description: Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
  • A. Teresa
    Teresa is the religious name of Mother Teresa, the Catholic nun and missionary renowned for her charitable work with the poor in Kolkata, India.
  • B. Timothea
    Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
  • C. Valeria
    Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
  • D. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • E. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a69dfeb08190b54a476cfa66e6d6 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7edf8ecec819081ce513fcf8a6d11 completed March 4, 2026, 8:31 a.m.
NEDg Description generation batch_69a7eeb2105c81909ad2a1b45f914594 completed March 4, 2026, 8:34 a.m.
NED2 Entity disambiguation (via description) batch_69a7ef2ed2c881909dc1d2d6fb39805a completed March 4, 2026, 8:37 a.m.
Created at: March 1, 2026, 7:37 p.m.