Triple

T1459397
Position Surface form Disambiguated ID Type / Status
Subject Meta Department E31474 entity
Predicate hasMajorCity P316 FINISHED
Object Acacías
Acacías is a Colombian city in the Meta Department known for its oil industry, agriculture, and role as a gateway to the Llanos Orientales plains.
 E167575 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: Acacías | Statement: [Meta Department, hasMajorCity, Acacías]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Acacías
Context triple: [Meta Department, hasMajorCity, Acacías]
  • A. Tamarineira
    Tamarineira is a neighborhood in the Brazilian city of Recife, known for its residential areas and local commerce.
  • B. La Ceiba
    La Ceiba is a prominent coastal city in northern Honduras known for its Caribbean port, vibrant nightlife, and annual carnival celebrations.
  • C. Jaqueira
    Jaqueira is a neighborhood in Recife, Brazil, known for its large urban park and residential character.
  • D. Acacallis
    Acacallis is a figure in Greek mythology, traditionally described as a daughter of King Minos of Crete.
  • E. Gouania
    Gouania is a genus of flowering plants in the buckthorn family, comprising mostly tropical climbing shrubs and vines.
  • 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: Acacías
Triple: [Meta Department, hasMajorCity, Acacías]
Generated description
Acacías is a Colombian city in the Meta Department known for its oil industry, agriculture, and role as a gateway to the Llanos Orientales plains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Acacías
Target entity description: Acacías is a Colombian city in the Meta Department known for its oil industry, agriculture, and role as a gateway to the Llanos Orientales plains.
  • A. Tamarineira
    Tamarineira is a neighborhood in the Brazilian city of Recife, known for its residential areas and local commerce.
  • B. La Ceiba
    La Ceiba is a prominent coastal city in northern Honduras known for its Caribbean port, vibrant nightlife, and annual carnival celebrations.
  • C. Jaqueira
    Jaqueira is a neighborhood in Recife, Brazil, known for its large urban park and residential character.
  • D. Acacallis
    Acacallis is a figure in Greek mythology, traditionally described as a daughter of King Minos of Crete.
  • E. Gouania
    Gouania is a genus of flowering plants in the buckthorn family, comprising mostly tropical climbing shrubs and vines.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c59c1c288190be08064f2d351b2b completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e786a208190a57c4e1878c66517 completed March 8, 2026, 5:51 a.m.
NEDg Description generation batch_69ad0ee93c4c8190bd705e31d9492158 completed March 8, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_69ad0fb331e881908455844135bb3208 completed March 8, 2026, 5:57 a.m.
Created at: March 1, 2026, 8 p.m.