Triple

T7892388
Position Surface form Disambiguated ID Type / Status
Subject Swat District E183266 entity
Predicate hasTown P847 FINISHED
Object Matta
Matta is a town located in Pakistan’s Swat District, known for its agricultural surroundings and scenic mountainous landscape.
 E697336 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: Matta | Statement: [Swat District, hasTown, Matta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matta
Context triple: [Swat District, hasTown, Matta]
  • A. Matta
    Matta is a surname most prominently associated with Thad Matta, a successful American college basketball coach known for his tenures at Xavier and Ohio State.
  • B. Mattioli
    Mattioli is an Italian surname historically associated with figures such as the 17th-century statesman Ercole Antonio Mattioli.
  • C. Martis
    Martis is a small town and comune in the Gallura region of northern Sardinia, Italy.
  • D. Maseo
    Maseo is the DJ and producer of the influential hip hop group De La Soul, known for his role in shaping their innovative, sample-rich sound.
  • E. Mata
    Mata is a title used in certain South Asian cultural and religious contexts, often signifying a revered mother figure or goddess.
  • 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: Matta
Triple: [Swat District, hasTown, Matta]
Generated description
Matta is a town located in Pakistan’s Swat District, known for its agricultural surroundings and scenic mountainous landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matta
Target entity description: Matta is a town located in Pakistan’s Swat District, known for its agricultural surroundings and scenic mountainous landscape.
  • A. Matta
    Matta is a surname most prominently associated with Thad Matta, a successful American college basketball coach known for his tenures at Xavier and Ohio State.
  • B. Mattioli
    Mattioli is an Italian surname historically associated with figures such as the 17th-century statesman Ercole Antonio Mattioli.
  • C. Martis
    Martis is a small town and comune in the Gallura region of northern Sardinia, Italy.
  • D. Maseo
    Maseo is the DJ and producer of the influential hip hop group De La Soul, known for his role in shaping their innovative, sample-rich sound.
  • E. Mata
    Mata is a title used in certain South Asian cultural and religious contexts, often signifying a revered mother figure or goddess.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39fef2e48190a6282c217c33c57a completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5ba51ee48190b654a931da2c049f completed March 31, 2026, 5:29 a.m.
NEDg Description generation batch_69cb5f1e84fc8190b535016cb69405b4 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb76a214488190b90e5db28511daa0 completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5 p.m.