Triple

T21517252
Position Surface form Disambiguated ID Type / Status
Subject LORETO-MAYNAS E530876 entity
Predicate hasPart P35 FINISHED
Object MAYNAS
MAYNAS is a province in the Loreto Region of northeastern Peru, known for encompassing large areas of Amazon rainforest and the city of Iquitos.
E1488942 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: MAYNAS | Statement: [LORETO-MAYNAS, hasPart, MAYNAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAYNAS
Context triple: [LORETO-MAYNAS, hasPart, MAYNAS]
  • A. Μαίναλο
    Μαίναλο είναι ένα ορεινό συγκρότημα στην κεντρική Πελοπόννησο, γνωστό για τα ελατοδάση, τα ορειβατικά μονοπάτια και το χιονοδρομικό του κέντρο.
  • B. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • C. Mankessim
    Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
  • D. Manāslu
    Manāslu is the eighth-highest mountain in the world, a prominent Himalayan peak in Nepal renowned for its challenging climbing routes and dramatic landscapes.
  • E. Mirannie
    Mirannie is a rural locality within Singleton Shire in New South Wales, Australia, known for its agricultural landscape and countryside setting.
  • 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: MAYNAS
Triple: [LORETO-MAYNAS, hasPart, MAYNAS]
Generated description
MAYNAS is a province in the Loreto Region of northeastern Peru, known for encompassing large areas of Amazon rainforest and the city of Iquitos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MAYNAS
Target entity description: MAYNAS is a province in the Loreto Region of northeastern Peru, known for encompassing large areas of Amazon rainforest and the city of Iquitos.
  • A. Μαίναλο
    Μαίναλο είναι ένα ορεινό συγκρότημα στην κεντρική Πελοπόννησο, γνωστό για τα ελατοδάση, τα ορειβατικά μονοπάτια και το χιονοδρομικό του κέντρο.
  • B. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • C. Mankessim
    Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
  • D. Manāslu
    Manāslu is the eighth-highest mountain in the world, a prominent Himalayan peak in Nepal renowned for its challenging climbing routes and dramatic landscapes.
  • E. Mirannie
    Mirannie is a rural locality within Singleton Shire in New South Wales, Australia, known for its agricultural landscape and countryside setting.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee814278e08190a66d516bed0726b5 completed April 26, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09e822da6081909eced309887f72a7 completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09e8b42b3481908fd96c48eb42625f completed May 17, 2026, 4:11 p.m.
NED2 Entity disambiguation (via description) batch_6a09e92defe88190af0afcb3b97e95cf completed May 17, 2026, 4:13 p.m.
Created at: April 16, 2026, 6:25 p.m.