Triple

T1350567
Position Surface form Disambiguated ID Type / Status
Subject Guadalajara International Book Fair E28870 entity
Predicate alsoKnownAs P39 FINISHED
Object FIL
FIL is the Guadalajara International Book Fair, one of the largest and most important literary and publishing events in the Spanish-speaking world.
 E154099 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: FIL | Statement: [Guadalajara International Book Fair, alsoKnownAs, FIL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FIL
Context triple: [Guadalajara International Book Fair, alsoKnownAs, FIL]
  • A. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • B. FISC
    FISC is a specialized U.S. federal court that oversees and authorizes government requests for foreign intelligence surveillance, particularly in national security and counterterrorism cases.
  • C. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • D. FOIRL
    FOIRL (Fiber Optic Inter-Repeater Link) is an early Ethernet standard that used fiber-optic cabling to connect network repeaters over longer distances than copper-based links.
  • E. FED
    FED is the commonly used abbreviation for the Fluids Engineering Division, a professional group focused on research and advancements in fluid mechanics and related technologies.
  • 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: FIL
Triple: [Guadalajara International Book Fair, alsoKnownAs, FIL]
Generated description
FIL is the Guadalajara International Book Fair, one of the largest and most important literary and publishing events in the Spanish-speaking world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FIL
Target entity description: FIL is the Guadalajara International Book Fair, one of the largest and most important literary and publishing events in the Spanish-speaking world.
  • A. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • B. FISC
    FISC is a specialized U.S. federal court that oversees and authorizes government requests for foreign intelligence surveillance, particularly in national security and counterterrorism cases.
  • C. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • D. FOIRL
    FOIRL (Fiber Optic Inter-Repeater Link) is an early Ethernet standard that used fiber-optic cabling to connect network repeaters over longer distances than copper-based links.
  • E. FED
    FED is the commonly used abbreviation for the Fluids Engineering Division, a professional group focused on research and advancements in fluid mechanics and related technologies.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26981d081909ca3b8d8cdf7cf2e completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc63eef908190aef058396f63a5a4 completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc6dbd80881908d640ee204ce9a12 completed March 8, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69acc8199f508190a86c18ad9085d341 completed March 8, 2026, 12:51 a.m.
Created at: March 1, 2026, 7:56 p.m.