Triple

T12712040
Position Surface form Disambiguated ID Type / Status
Subject Federal University of Agriculture, Abeokuta E303742 entity
Predicate alsoKnownAs P39 FINISHED
Object FUNAAB
FUNAAB is a Nigerian federal university specializing in agricultural and related sciences, located in Abeokuta, Ogun State.
 E996859 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: FUNAAB | Statement: [Federal University of Agriculture, Abeokuta, alsoKnownAs, FUNAAB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FUNAAB
Context triple: [Federal University of Agriculture, Abeokuta, alsoKnownAs, FUNAAB]
  • A. FUNO
    FUNO is the stock ticker symbol for Fibra Uno, one of Mexico’s largest real estate investment trusts (REITs) focused on commercial properties.
  • B. FUN!
    "FUN!" is a track by American rapper Vince Staples that showcases his sharp lyricism and darkly humorous commentary over an energetic, experimental production.
  • C. FANK
    FANK was the acronym for the Khmer National Armed Forces, the military of the pro-U.S. Lon Nol government in Cambodia during the Cambodian Civil War.
  • D. Funka
    Funka is a small village in northern Poland known for its scenic lakeside setting and recreational access to Lake Charzykowskie.
  • E. FUN
    FUN is the IATA airport code for Funafuti International Airport, the main air gateway to the island nation of Tuvalu.
  • 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: FUNAAB
Triple: [Federal University of Agriculture, Abeokuta, alsoKnownAs, FUNAAB]
Generated description
FUNAAB is a Nigerian federal university specializing in agricultural and related sciences, located in Abeokuta, Ogun State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FUNAAB
Target entity description: FUNAAB is a Nigerian federal university specializing in agricultural and related sciences, located in Abeokuta, Ogun State.
  • A. FUNO
    FUNO is the stock ticker symbol for Fibra Uno, one of Mexico’s largest real estate investment trusts (REITs) focused on commercial properties.
  • B. FUN!
    "FUN!" is a track by American rapper Vince Staples that showcases his sharp lyricism and darkly humorous commentary over an energetic, experimental production.
  • C. FANK
    FANK was the acronym for the Khmer National Armed Forces, the military of the pro-U.S. Lon Nol government in Cambodia during the Cambodian Civil War.
  • D. Funka
    Funka is a small village in northern Poland known for its scenic lakeside setting and recreational access to Lake Charzykowskie.
  • E. FUN
    FUN is the IATA airport code for Funafuti International Airport, the main air gateway to the island nation of Tuvalu.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96208fa6481909d6fd43654752a2d completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b8f43081909d4a8e4241c813a1 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f672ac07908190bd2dfe90d55a13c1 completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f67360b530819085d5db2aa0b7513d completed May 2, 2026, 9:57 p.m.
Created at: April 9, 2026, 5:23 p.m.