Triple

T7224106
Position Surface form Disambiguated ID Type / Status
Subject Centre Department E150333 entity
Predicate hasSettlement P1068 FINISHED
Object Maïssade
Maïssade is a commune and town in Haiti known for its agricultural activities and location within the country’s central plateau region.
E650162 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: Maïssade | Statement: [Centre Department, hasSettlement, Maïssade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maïssade
Context triple: [Centre Department, hasSettlement, Maïssade]
  • A. Masarra
    Masarra is a passenger station on Cairo Metro’s Line 2 serving commuters in the Cairo metropolitan area.
  • B. Madouri
    Madouri is a small Ionian Sea island off the coast of Lefkada in Greece, known for its scenic beauty and association with the Greek poet Aristotelis Valaoritis.
  • C. El Hajeb
    El Hajeb is a town and provincial capital in northern Morocco, situated in the Fès-Meknès region.
  • D. El Mokrani
    El Mokrani is a town and commune located within Bouira Province in northern Algeria.
  • E. Intissar
    Intissar is an Arabic given name, commonly used for women, that means "victory" or "triumph."
  • 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: Maïssade
Triple: [Centre Department, hasSettlement, Maïssade]
Generated description
Maïssade is a commune and town in Haiti known for its agricultural activities and location within the country’s central plateau region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maïssade
Target entity description: Maïssade is a commune and town in Haiti known for its agricultural activities and location within the country’s central plateau region.
  • A. Masarra
    Masarra is a passenger station on Cairo Metro’s Line 2 serving commuters in the Cairo metropolitan area.
  • B. Madouri
    Madouri is a small Ionian Sea island off the coast of Lefkada in Greece, known for its scenic beauty and association with the Greek poet Aristotelis Valaoritis.
  • C. El Hajeb
    El Hajeb is a town and provincial capital in northern Morocco, situated in the Fès-Meknès region.
  • D. El Mokrani
    El Mokrani is a town and commune located within Bouira Province in northern Algeria.
  • E. Intissar
    Intissar is an Arabic given name, commonly used for women, that means "victory" or "triumph."
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9db51888190b8463d0003f334fa completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc11b48881909886a71f1b887789 completed March 28, 2026, 12:39 p.m.
NEDg Description generation batch_69c7cd47d4b88190a75c419c41d57cb9 completed March 28, 2026, 12:44 p.m.
NED2 Entity disambiguation (via description) batch_69c7cdbdee8081908faadb9cdaa4df13 completed March 28, 2026, 12:46 p.m.
Created at: March 27, 2026, 2:54 p.m.