Triple

T22551710
Position Surface form Disambiguated ID Type / Status
Subject Facultad de Humanidades y Ciencias de la Educación E557573 entity
Predicate shortName P43 FINISHED
Object FHCE
FHCE is the commonly used abbreviation for the Facultad de Humanidades y Ciencias de la Educación, a university faculty dedicated to humanities and education sciences.
 E1542582 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: FHCE | Statement: [Facultad de Humanidades y Ciencias de la Educación, shortName, FHCE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FHCE
Context triple: [Facultad de Humanidades y Ciencias de la Educación, shortName, FHCE]
  • A. FHU
    FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
  • B. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • C. FHC
    FHC is the commonly used abbreviation for Frölunda HC, a professional ice hockey club based in Gothenburg, Sweden.
  • D. FHC
    FHC is the commonly used acronym and honorific referring to Fernando Henrique Cardoso, a prominent Brazilian sociologist and former president of Brazil.
  • E. CFH
    CFH is the National Rail station code for Chafford Hundred railway station in Essex, England.
  • 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: FHCE
Triple: [Facultad de Humanidades y Ciencias de la Educación, shortName, FHCE]
Generated description
FHCE is the commonly used abbreviation for the Facultad de Humanidades y Ciencias de la Educación, a university faculty dedicated to humanities and education sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FHCE
Target entity description: FHCE is the commonly used abbreviation for the Facultad de Humanidades y Ciencias de la Educación, a university faculty dedicated to humanities and education sciences.
  • A. FHU
    FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
  • B. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • C. FHC
    FHC is the commonly used acronym and honorific referring to Fernando Henrique Cardoso, a prominent Brazilian sociologist and former president of Brazil.
  • D. FHC
    FHC is the commonly used abbreviation for Frölunda HC, a professional ice hockey club based in Gothenburg, Sweden.
  • E. CFH
    CFH is the National Rail station code for Chafford Hundred railway station in Essex, England.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7647208190a1aaebd083bf095a completed April 29, 2026, 1:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b2d6309d481909185ea6ebaf80d64 completed May 18, 2026, 3:16 p.m.
NEDg Description generation batch_6a0b364718308190937c3b7ae90ea9df completed May 18, 2026, 3:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0b37998f888190bb53c2429760321a completed May 18, 2026, 4 p.m.
Created at: April 16, 2026, 8:52 p.m.