Triple

T469473
Position Surface form Disambiguated ID Type / Status
Subject Hôpital Sainte-Croix, Léogâne E8522 entity
Predicate locatedIn P40 FINISHED
Object Léogâne
Léogâne is a coastal commune in western Haiti, historically significant as a former indigenous and colonial center and heavily affected by the 2010 earthquake.
 E58676 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: Léogâne | Statement: [Hôpital Sainte-Croix, Léogâne, locatedIn, Léogâne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Léogâne
Context triple: [Hôpital Sainte-Croix, Léogâne, locatedIn, Léogâne]
  • A. Donuzlav
    Donuzlav is a deep-water lagoon and naval harbor in western Crimea that serves as a strategic base for Russian Black Sea naval operations.
  • B. Gamay
    Gamay is a red wine grape variety best known for producing light, fruity wines, particularly in France’s Beaujolais region.
  • C. Valee
    Valee is an American rapper known for his laid-back flow, minimalist beats, and work with Kanye West’s G.O.O.D. Music label.
  • D. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • E. Figaleia
    Figaleia is an ancient town in southwestern Arcadia, Greece, known for its proximity to the classical sanctuary of Apollo Epicurius at Bassae.
  • 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: Léogâne
Triple: [Hôpital Sainte-Croix, Léogâne, locatedIn, Léogâne]
Generated description
Léogâne is a coastal commune in western Haiti, historically significant as a former indigenous and colonial center and heavily affected by the 2010 earthquake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Léogâne
Target entity description: Léogâne is a coastal commune in western Haiti, historically significant as a former indigenous and colonial center and heavily affected by the 2010 earthquake.
  • A. Donuzlav
    Donuzlav is a deep-water lagoon and naval harbor in western Crimea that serves as a strategic base for Russian Black Sea naval operations.
  • B. Gamay
    Gamay is a red wine grape variety best known for producing light, fruity wines, particularly in France’s Beaujolais region.
  • C. Valee
    Valee is an American rapper known for his laid-back flow, minimalist beats, and work with Kanye West’s G.O.O.D. Music label.
  • D. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • E. Figaleia
    Figaleia is an ancient town in southwestern Arcadia, Greece, known for its proximity to the classical sanctuary of Apollo Epicurius at Bassae.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efee0ea0819099d87f3727c03bc7 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a45803a8c081908e5f5a03f462cd2e completed March 1, 2026, 3:15 p.m.
NEDg Description generation batch_69a45d6f45a0819099ced2dc87124c2c completed March 1, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_69a45e24f1308190b852050d56348f57 completed March 1, 2026, 3:41 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.