Triple

T9199906
Position Surface form Disambiguated ID Type / Status
Subject Middle Guinea E220809 entity
Predicate hasMajorCity P316 FINISHED
Object Dalaba
Dalaba is a town in central Guinea known for its cool climate, scenic highland landscapes, and historical role as a colonial-era hill station.
 E784218 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: Dalaba | Statement: [Middle Guinea, hasMajorCity, Dalaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dalaba
Context triple: [Middle Guinea, hasMajorCity, Dalaba]
  • A. Lasbela
    Lasbela is a coastal district and city in Pakistan’s Balochistan province, known for its strategic location near Karachi and its mix of industrial, agricultural, and fishing activities.
  • B. Qasar
    Qasar was a prominent member of the Mongol Borjigin clan, known historically as a close kinsman and military supporter of Genghis Khan.
  • C. Daulian
    Daulian refers to an inhabitant or native of the ancient Greek town of Daulis in Phocis.
  • D. Doala
    Doala is the acrobatic blue koala mascot of Japan’s Chunichi Dragons baseball team, known for his comedic backflips and eccentric performances.
  • E. Damga
    Damga is a Turkish novel by Reşat Nuri Güntekin, known for its exploration of social and moral issues in early 20th-century Turkish society.
  • 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: Dalaba
Triple: [Middle Guinea, hasMajorCity, Dalaba]
Generated description
Dalaba is a town in central Guinea known for its cool climate, scenic highland landscapes, and historical role as a colonial-era hill station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dalaba
Target entity description: Dalaba is a town in central Guinea known for its cool climate, scenic highland landscapes, and historical role as a colonial-era hill station.
  • A. Lasbela
    Lasbela is a coastal district and city in Pakistan’s Balochistan province, known for its strategic location near Karachi and its mix of industrial, agricultural, and fishing activities.
  • B. Qasar
    Qasar was a prominent member of the Mongol Borjigin clan, known historically as a close kinsman and military supporter of Genghis Khan.
  • C. Daulian
    Daulian refers to an inhabitant or native of the ancient Greek town of Daulis in Phocis.
  • D. Doala
    Doala is the acrobatic blue koala mascot of Japan’s Chunichi Dragons baseball team, known for his comedic backflips and eccentric performances.
  • E. Damga
    Damga is a Turkish novel by Reşat Nuri Güntekin, known for its exploration of social and moral issues in early 20th-century Turkish society.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd881c5d48190bbc33fac71a1d849 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c451210819091188151d799e4cb completed April 4, 2026, 12:33 a.m.
NEDg Description generation batch_69d05dbbe0d08190a15107c17948167f completed April 4, 2026, 12:39 a.m.
NED2 Entity disambiguation (via description) batch_69d05e34ae6881908172770c6097a5e5 completed April 4, 2026, 12:41 a.m.
Created at: March 30, 2026, 7:25 p.m.