Triple

T19172273
Position Surface form Disambiguated ID Type / Status
Subject Maranhão E469351 entity
Predicate hasCity P316 FINISHED
Object Timon
Timon is a municipality in the Brazilian state of Maranhão, located in the country’s Northeast region near the city of Teresina.
 E1362561 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: Timon | Statement: [Maranhão, hasCity, Timon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Timon
Context triple: [Maranhão, hasCity, Timon]
  • A. Timon
    Timon is one of the seven early Christian deacons mentioned in the New Testament, chosen by the apostles in Jerusalem to help administer the church’s charitable work.
  • B. Timon
    Timon is a wisecracking meerkat from Disney’s The Lion King, best known as Simba’s carefree friend and one half of the comic duo Timon and Pumbaa.
  • C. Silvius
    Silvius is a masculine given name of Latin origin, historically associated with ancient Roman figures and later adapted into various European languages.
  • D. Meligou
    Meligou is a small village located within the municipality of North Kynouria in the Arcadia region of the Peloponnese, Greece.
  • E. Dronkey
    Dronkey is a fictional hybrid creature—half dragon, half donkey—from the Shrek film series, known as the offspring of Donkey and Dragon.
  • 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: Timon
Triple: [Maranhão, hasCity, Timon]
Generated description
Timon is a municipality in the Brazilian state of Maranhão, located in the country’s Northeast region near the city of Teresina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Timon
Target entity description: Timon is a municipality in the Brazilian state of Maranhão, located in the country’s Northeast region near the city of Teresina.
  • A. Timon
    Timon is a wisecracking meerkat from Disney’s The Lion King, best known as Simba’s carefree friend and one half of the comic duo Timon and Pumbaa.
  • B. Timon
    Timon is one of the seven early Christian deacons mentioned in the New Testament, chosen by the apostles in Jerusalem to help administer the church’s charitable work.
  • C. Silvius
    Silvius is a masculine given name of Latin origin, historically associated with ancient Roman figures and later adapted into various European languages.
  • D. Meligou
    Meligou is a small village located within the municipality of North Kynouria in the Arcadia region of the Peloponnese, Greece.
  • E. Dronkey
    Dronkey is a fictional hybrid creature—half dragon, half donkey—from the Shrek film series, known as the offspring of Donkey and Dragon.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16481948190973067eb854da237 completed April 20, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f8ac3304819091fa43ec3f7573b6 completed May 15, 2026, 10:42 a.m.
NEDg Description generation batch_6a06f9cc015c8190a87518c058e2a233 completed May 15, 2026, 10:47 a.m.
NED2 Entity disambiguation (via description) batch_6a06fa3aa394819096ef4b6f3dddba1a completed May 15, 2026, 10:49 a.m.
Created at: April 10, 2026, 12:06 p.m.