Triple

T26013231

Position	Surface form	Disambiguated ID	Type / Status
Subject	Serranía de la Macarena	`E646955`	entity
Predicate	floraRegion	`P150308`	FINISHED
Object	Andean flora Andean flora comprises the diverse, often high-altitude plant communities of the Andes Mountains, adapted to a wide range of climates and elevations from cloud forests to páramo grasslands.	`E1704062`	NE FINISHED

How this triple was built (3 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: Andean flora | Statement: [Serranía de la Macarena, floraRegion, Andean flora]

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: Andean flora
Triple: [Serranía de la Macarena, floraRegion, Andean flora]

Generated description

Andean flora comprises the diverse, often high-altitude plant communities of the Andes Mountains, adapted to a wide range of climates and elevations from cloud forests to páramo grasslands.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: floraRegion
Context triple: [Serranía de la Macarena, floraRegion, Andean flora]

A. hasFloristicRegion chosen
Indicates that an entity is located in, associated with, or belongs to a particular floristic (plant-distribution) region.
B. hasFloristicSubregion
Indicates that a region is part of, or contained within, a more specific floristic subregion in terms of its plant composition or flora classification.
C. hasFloralRegion
Indicates that one entity possesses or is associated with a specific floral region as a characteristic or component.
D. naturalRegionOf
Indicates that one entity is the natural geographic region or area in which the other entity is located or to which it belongs.
E. hasRegionalFlower
Indicates that a region is associated with a specific flower designated as its symbolic or representative flower.
F. None of above.

Provenance (6 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_69e77e8aa65881909ca58918f29ab2a0`	completed	April 21, 2026, 1:41 p.m.
NER	Named-entity recognition	`batch_69f605b710ec8190a84765aee7ba31e1`	completed	May 2, 2026, 2:09 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1107a52c888190912e1e8f3175660d`	completed	May 23, 2026, 1:49 a.m.
NEDg	Description generation	`batch_6a11090be01081909db2a95c6d3afda7`	completed	May 23, 2026, 1:55 a.m.
NED2	Entity disambiguation (via description)	`batch_6a11098d46308190a3df9e8a74041538`	completed	May 23, 2026, 1:57 a.m.
PD	Predicate disambiguation	`batch_69f602d07590819085ac34b189613104`	completed	May 2, 2026, 1:57 p.m.

Created at: April 22, 2026, 9:02 a.m.