Triple

T5885548
Position Surface form Disambiguated ID Type / Status
Subject Cueto Municipality E130851 entity
Predicate contains P35 FINISHED
Object Marcané
Marcané is a locality within Cueto Municipality in Holguín Province, Cuba, known primarily as a small rural community.
 E553612 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: Marcané | Statement: [Cueto Municipality, contains, Marcané]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marcané
Context triple: [Cueto Municipality, contains, Marcané]
  • A. Macaria
    Macaria is a figure in Greek mythology known as a daughter of Heracles, associated with themes of sacrifice and deliverance.
  • B. Ioulida
    Ioulida is the main town and traditional inland settlement of the Greek island of Kea in the Cyclades.
  • C. Merania
    Merania was a medieval duchy on the Adriatic coast, historically associated with the House of Andechs and various European noble lineages.
  • D. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • E. Leonessa
    Leonessa is a historic mountain town in central Italy, known for its medieval architecture and scenic location in the Apennines.
  • 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: Marcané
Triple: [Cueto Municipality, contains, Marcané]
Generated description
Marcané is a locality within Cueto Municipality in Holguín Province, Cuba, known primarily as a small rural community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marcané
Target entity description: Marcané is a locality within Cueto Municipality in Holguín Province, Cuba, known primarily as a small rural community.
  • A. Macaria
    Macaria is a figure in Greek mythology known as a daughter of Heracles, associated with themes of sacrifice and deliverance.
  • B. Ioulida
    Ioulida is the main town and traditional inland settlement of the Greek island of Kea in the Cyclades.
  • C. Merania
    Merania was a medieval duchy on the Adriatic coast, historically associated with the House of Andechs and various European noble lineages.
  • D. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • E. Leonessa
    Leonessa is a historic mountain town in central Italy, known for its medieval architecture and scenic location in the Apennines.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03678dd2c819095926f80f25696b0 completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b13ce8788190b07771180f0fa376 completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b1e5cdc081908d0d2b76701d20ea completed March 23, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69c0b24d7d148190901e233d815d21ad completed March 23, 2026, 3:23 a.m.
Created at: March 22, 2026, 3:57 p.m.