Triple

T363069
Position Surface form Disambiguated ID Type / Status
Subject Manila E7896 entity
Predicate notableDistrict P295 FINISHED
Object Malate
Malate is a historic coastal district of Manila, Philippines, known for its nightlife, cultural landmarks, and proximity to Manila Bay.
 E46066 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: Malate | Statement: [Manila, notableDistrict, Malate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malate
Context triple: [Manila, notableDistrict, Malate]
  • A. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • B. Malus
    Malus is a genus of deciduous trees and shrubs in the rose family best known for cultivated apples and ornamental crabapples.
  • C. Morus
    Morus is a genus of deciduous trees commonly known as mulberries, valued for their sweet, edible fruits and use in silkworm cultivation.
  • D. Plegridy
    Plegridy is a pegylated interferon beta-1a medication used to treat relapsing forms of multiple sclerosis.
  • E. Gamay
    Gamay is a red wine grape variety best known for producing light, fruity wines, particularly in France’s Beaujolais region.
  • 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: Malate
Triple: [Manila, notableDistrict, Malate]
Generated description
Malate is a historic coastal district of Manila, Philippines, known for its nightlife, cultural landmarks, and proximity to Manila Bay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malate
Target entity description: Malate is a historic coastal district of Manila, Philippines, known for its nightlife, cultural landmarks, and proximity to Manila Bay.
  • A. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • B. Malus
    Malus is a genus of deciduous trees and shrubs in the rose family best known for cultivated apples and ornamental crabapples.
  • C. Morus
    Morus is a genus of deciduous trees commonly known as mulberries, valued for their sweet, edible fruits and use in silkworm cultivation.
  • D. Plegridy
    Plegridy is a pegylated interferon beta-1a medication used to treat relapsing forms of multiple sclerosis.
  • E. Gamay
    Gamay is a red wine grape variety best known for producing light, fruity wines, particularly in France’s Beaujolais region.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee29ede0819095279af95b53e350 completed Feb. 28, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3e86533a481909bab5f0b52114c6a completed March 1, 2026, 7:19 a.m.
NEDg Description generation batch_69a3e99fd210819099e83cd183a4daa7 completed March 1, 2026, 7:24 a.m.
NED2 Entity disambiguation (via description) batch_69a3ea45c86c8190a6c215430601ad15 completed March 1, 2026, 7:27 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.