Triple

T3468291
Position Surface form Disambiguated ID Type / Status
Subject Larissa regional unit E73189 entity
Predicate contains P35 FINISHED
Object Kileler
Kileler is a municipality and village in the Thessaly region of central Greece, known historically for its agricultural character and the 1910 peasant uprising.
E361849 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: Kileler | Statement: [Larissa regional unit, contains, Kileler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kileler
Context triple: [Larissa regional unit, contains, Kileler]
  • A. Kile
    Kile is a KDE-based integrated LaTeX editor that provides tools for writing, compiling, and previewing LaTeX documents efficiently.
  • B. Kaul
    Kaul is a Kashmiri Pandit surname historically associated with prominent Indian families, including that of Kamala Nehru.
  • C. Keills
    Keills is a small village on the Scottish island of Islay, known for its rural coastal setting within the Inner Hebrides.
  • D. Kin Kletso
    Kin Kletso is an Ancestral Puebloan great house ruin in Chaco Canyon, New Mexico, notable for its masonry architecture and role in the Chacoan cultural landscape.
  • E. Kikisoblu
    Kikisoblu, better known as Princess Angeline, was the eldest daughter of Chief Seattle and a notable Duwamish woman who became a symbolic figure in early Seattle history.
  • 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: Kileler
Triple: [Larissa regional unit, contains, Kileler]
Generated description
Kileler is a municipality and village in the Thessaly region of central Greece, known historically for its agricultural character and the 1910 peasant uprising.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kileler
Target entity description: Kileler is a municipality and village in the Thessaly region of central Greece, known historically for its agricultural character and the 1910 peasant uprising.
  • A. Kile
    Kile is a KDE-based integrated LaTeX editor that provides tools for writing, compiling, and previewing LaTeX documents efficiently.
  • B. Kaul
    Kaul is a Kashmiri Pandit surname historically associated with prominent Indian families, including that of Kamala Nehru.
  • C. Keills
    Keills is a small village on the Scottish island of Islay, known for its rural coastal setting within the Inner Hebrides.
  • D. Kin Kletso
    Kin Kletso is an Ancestral Puebloan great house ruin in Chaco Canyon, New Mexico, notable for its masonry architecture and role in the Chacoan cultural landscape.
  • E. Kikisoblu
    Kikisoblu, better known as Princess Angeline, was the eldest daughter of Chief Seattle and a notable Duwamish woman who became a symbolic figure in early Seattle history.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb11ec5881908347bf92883a25ee completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680763608190acdd146dc7c0b239 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b36c4d77448190abe198ec9d48597d completed March 13, 2026, 1:45 a.m.
NED2 Entity disambiguation (via description) batch_69b36cca06d48190bc72ad2e9bd9bdb5 completed March 13, 2026, 1:47 a.m.
Created at: March 8, 2026, 3:17 p.m.