Triple

T6665331
Position Surface form Disambiguated ID Type / Status
Subject Nippes Department E151586 entity
Predicate hasCapital P204 FINISHED
Object Miragoâne
Miragoâne is a coastal city in southwestern Haiti that serves as an important regional port and administrative center.
 E608941 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: Miragoâne | Statement: [Nippes Department, hasCapital, Miragoâne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miragoâne
Context triple: [Nippes Department, hasCapital, Miragoâne]
  • A. Peloursin
    Peloursin is a relatively obscure French red wine grape variety historically grown in the Rhône and Isère regions and best known today as a parent of Petite Sirah (Durif).
  • B. Tatihou
    Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
  • C. Burdigala
    Burdigala was the ancient Roman-era city in Gaul that later became modern-day Bordeaux, an important commercial and cultural center.
  • D. Marignane
    Marignane is a commune in southern France near Marseille, known for hosting Marseille Provence Airport and its proximity to the Mediterranean coast.
  • E. Goubellat
    Goubellat is a town in northern Tunisia located within the Béja Governorate, known primarily for its agricultural surroundings and rural character.
  • 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: Miragoâne
Triple: [Nippes Department, hasCapital, Miragoâne]
Generated description
Miragoâne is a coastal city in southwestern Haiti that serves as an important regional port and administrative center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miragoâne
Target entity description: Miragoâne is a coastal city in southwestern Haiti that serves as an important regional port and administrative center.
  • A. Peloursin
    Peloursin is a relatively obscure French red wine grape variety historically grown in the Rhône and Isère regions and best known today as a parent of Petite Sirah (Durif).
  • B. Tatihou
    Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
  • C. Burdigala
    Burdigala was the ancient Roman-era city in Gaul that later became modern-day Bordeaux, an important commercial and cultural center.
  • D. Marignane
    Marignane is a commune in southern France near Marseille, known for hosting Marseille Provence Airport and its proximity to the Mediterranean coast.
  • E. Goubellat
    Goubellat is a town in northern Tunisia located within the Béja Governorate, known primarily for its agricultural surroundings and rural character.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b09d97648190a254cabc0ffcb0dc completed March 27, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef0e33308190995fcccf50d134c1 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0a3f0b481908dfe70d626277e8f completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f1a3995c8190b22766356b6e6bf8 completed March 27, 2026, 9:07 p.m.
Created at: March 27, 2026, 2:02 p.m.