Triple

T17555024
Position Surface form Disambiguated ID Type / Status
Subject Totolapan Municipality E427568 entity
Predicate capital P234 FINISHED
Object Totolapan
Totolapan is a small town in the Mexican state of Morelos known for its traditional rural character and role as the administrative center of its surrounding municipality.
 E1275824 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: Totolapan | Statement: [Totolapan Municipality, capital, Totolapan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Totolapan
Context triple: [Totolapan Municipality, capital, Totolapan]
  • A. Loto
    Loto is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
  • B. TOTO
    TOTO is the commonly used abbreviation for the Tongue of the Ocean, a deep, U-shaped submarine trench in the Bahamas.
  • C. TOTO
    TOTO is an American rock band best known for its polished musicianship and hits like "Africa," "Rosanna," and "Hold the Line."
  • D. TOTO
    TOTO is a Dutch sports betting and lottery brand known for sponsoring major football competitions in the Netherlands.
  • E. PalaLottomatica
    PalaLottomatica is a major indoor sports and entertainment arena in Rome, Italy, known for hosting basketball games, concerts, and large-scale events.
  • 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: Totolapan
Triple: [Totolapan Municipality, capital, Totolapan]
Generated description
Totolapan is a small town in the Mexican state of Morelos known for its traditional rural character and role as the administrative center of its surrounding municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Totolapan
Target entity description: Totolapan is a small town in the Mexican state of Morelos known for its traditional rural character and role as the administrative center of its surrounding municipality.
  • A. Loto
    Loto is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
  • B. TOTO
    TOTO is the commonly used abbreviation for the Tongue of the Ocean, a deep, U-shaped submarine trench in the Bahamas.
  • C. TOTO
    TOTO is an American rock band best known for its polished musicianship and hits like "Africa," "Rosanna," and "Hold the Line."
  • D. TOTO
    TOTO is a Dutch sports betting and lottery brand known for sponsoring major football competitions in the Netherlands.
  • E. PalaLottomatica
    PalaLottomatica is a major indoor sports and entertainment arena in Rome, Italy, known for hosting basketball games, concerts, and large-scale events.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4562205c08190a7580a762d61b1e3 completed April 19, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01d292c4048190ba1f1b9fa74f7438 completed May 11, 2026, 12:58 p.m.
NEDg Description generation batch_6a01d71c86e4819091f4e5f5ed24261f completed May 11, 2026, 1:18 p.m.
NED2 Entity disambiguation (via description) batch_6a01d7a77e408190860c3c4e4dc769df completed May 11, 2026, 1:20 p.m.
Created at: April 10, 2026, 5:50 a.m.