Triple

T6484776
Position Surface form Disambiguated ID Type / Status
Subject Curicó Province E146480 entity
Predicate hasMunicipality P847 FINISHED
Object Teno
Teno is a Chilean municipality and town located in the Curicó Province of the Maule Region, known for its agricultural activities and rural character.
E597165 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: Teno | Statement: [Curicó Province, hasMunicipality, Teno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teno
Context triple: [Curicó Province, hasMunicipality, Teno]
  • A. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • B. Toda
    Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
  • C. Tenom
    Tenom is a rural interior town and district in the Malaysian state of Sabah, known for its agriculture, coffee production, and Murut cultural heritage.
  • D. Tantamani
    Tantamani was a Kushite king of the 25th Dynasty of Egypt, known for his brief attempt to restore Nubian control over Egypt before being driven back by the Assyrians.
  • E. Tontola
    Tontola is a small locality or hamlet that forms part of the municipality of Predappio in the Emilia-Romagna region of Italy.
  • 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: Teno
Triple: [Curicó Province, hasMunicipality, Teno]
Generated description
Teno is a Chilean municipality and town located in the Curicó Province of the Maule Region, known for its agricultural activities and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teno
Target entity description: Teno is a Chilean municipality and town located in the Curicó Province of the Maule Region, known for its agricultural activities and rural character.
  • A. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • B. Toda
    Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
  • C. Tenom
    Tenom is a rural interior town and district in the Malaysian state of Sabah, known for its agriculture, coffee production, and Murut cultural heritage.
  • D. Tantamani
    Tantamani was a Kushite king of the 25th Dynasty of Egypt, known for his brief attempt to restore Nubian control over Egypt before being driven back by the Assyrians.
  • E. Tontola
    Tontola is a small locality or hamlet that forms part of the municipality of Predappio in the Emilia-Romagna region of Italy.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a6efe1881909a044b1cdaa511af completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b24670819088fa8e0d7eb6f73b completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c655c84a7c81909bb59f9db52f5d3a completed March 27, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_69c656c84ecc8190b5d0c947c27a3bb0 completed March 27, 2026, 10:07 a.m.
Created at: March 22, 2026, 4:52 p.m.