Triple

T25929121

Position	Surface form	Disambiguated ID	Type / Status
Subject	Madagascar dry deciduous forests	`E653385`	entity
Predicate	protectedAreaExample	`P86799`	FINISHED
Object	Kirindy Mitea National Park Kirindy Mitea National Park is a biodiverse protected area in western Madagascar, renowned for its dry deciduous forests, unique lemur species, and other endemic wildlife.	`E1704135`	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: Kirindy Mitea National Park | Statement: [Madagascar dry deciduous forests, protectedAreaExample, Kirindy Mitea National Park]

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: Kirindy Mitea National Park
Triple: [Madagascar dry deciduous forests, protectedAreaExample, Kirindy Mitea National Park]

Generated description

Kirindy Mitea National Park is a biodiverse protected area in western Madagascar, renowned for its dry deciduous forests, unique lemur species, and other endemic wildlife.

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

Target predicate: protectedAreaExample
Context triple: [Madagascar dry deciduous forests, protectedAreaExample, Kirindy Mitea National Park]

A. protectedAreaCore
Indicates that an entity lies within the core, most strictly protected zone of a designated protected area.
B. protectedAreaName
Indicates the designated name assigned to a protected area.
C. protectedAreaCountry
Indicates that a protected area is located within and legally falls under the jurisdiction of a specific country.
D. protectedAreaGateway
Indicates that an entity serves as an entrance or access point leading into a protected or restricted area.
E. protectedAreaAssociation chosen
Indicates an association where one entity is designated as, or linked to, a protected area in relation to another entity.
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_69e7ab3eb9b881909c1390690551f868`	completed	April 21, 2026, 4:52 p.m.
NER	Named-entity recognition	`batch_69f60c698ae48190871cd445422bad91`	completed	May 2, 2026, 2:38 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a110772a1c08190af91a53bde823a92`	completed	May 23, 2026, 1:48 a.m.
NEDg	Description generation	`batch_6a11080f37c08190b1e814533c85f8f2`	completed	May 23, 2026, 1:51 a.m.
NED2	Entity disambiguation (via description)	`batch_6a1108aa194481908986a597992ffbac`	completed	May 23, 2026, 1:53 a.m.
PD	Predicate disambiguation	`batch_69f60b874cc88190a487230abb69efea`	completed	May 2, 2026, 2:34 p.m.

Created at: April 22, 2026, 8:36 a.m.