Triple

T8932846
Position Surface form Disambiguated ID Type / Status
Subject Roosevelt Johnson E212698 entity
Predicate militaryBranch P253 FINISHED
Object ULIMO-J
ULIMO-J was a faction of the United Liberation Movement of Liberia for Democracy led by Roosevelt Johnson that operated as an armed group during the First Liberian Civil War.
 E767819 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: ULIMO-J | Statement: [Roosevelt Johnson, militaryBranch, ULIMO-J]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ULIMO-J
Context triple: [Roosevelt Johnson, militaryBranch, ULIMO-J]
  • A. ULIMO-K
    ULIMO-K was a predominantly Mandingo faction of the United Liberation Movement of Liberia for Democracy that operated as an armed group during the First Liberian Civil War.
  • B. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • C. LIMJ
    LIMJ is the ICAO airport code for Genoa Cristoforo Colombo Airport, the main international airport serving the city of Genoa in Italy.
  • D. UL
    UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
  • E. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • 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: ULIMO-J
Triple: [Roosevelt Johnson, militaryBranch, ULIMO-J]
Generated description
ULIMO-J was a faction of the United Liberation Movement of Liberia for Democracy led by Roosevelt Johnson that operated as an armed group during the First Liberian Civil War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ULIMO-J
Target entity description: ULIMO-J was a faction of the United Liberation Movement of Liberia for Democracy led by Roosevelt Johnson that operated as an armed group during the First Liberian Civil War.
  • A. ULIMO-K chosen
    ULIMO-K was a predominantly Mandingo faction of the United Liberation Movement of Liberia for Democracy that operated as an armed group during the First Liberian Civil War.
  • B. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • C. LIMJ
    LIMJ is the ICAO airport code for Genoa Cristoforo Colombo Airport, the main international airport serving the city of Genoa in Italy.
  • D. UL
    UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
  • E. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • F. None of above.

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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc668e5c108190b08f9cd6b4fd4a8b completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc93587b081908e23c2a8c01b9516 completed April 3, 2026, 2:05 p.m.
NEDg Description generation batch_69cfc99a21488190a0f9e55a8dc5c6c5 completed April 3, 2026, 2:07 p.m.
NED2 Entity disambiguation (via description) batch_69cfca24fd90819081107118a36f96b0 completed April 3, 2026, 2:09 p.m.
Created at: March 30, 2026, 6:57 p.m.