Triple

T3608899
Position Surface form Disambiguated ID Type / Status
Subject University of Coimbra E76435 entity
Predicate hasStudentTradition P19423 FINISHED
Object Latada
Latada is a traditional student festival at the University of Coimbra, marked by parades, music, and academic rituals celebrating the start of the academic year.
 E374198 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: Latada | Statement: [University of Coimbra, hasStudentTradition, Latada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Latada
Context triple: [University of Coimbra, hasStudentTradition, Latada]
  • A. Lata
    Lata is the given name of Lata Mangeshkar, the legendary Indian playback singer renowned as the "Nightingale of India."
  • B. Lata
    Lata is the main town and administrative center of Temotu Province in the eastern Solomon Islands.
  • C. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • D. Aluta
    Aluta is the historical name of the Olt River, a major waterway flowing through central Romania.
  • E. Lakka
    Lakka is a picturesque coastal village on the Greek island of Paxos, known for its sheltered bay, clear turquoise waters, and traditional Ionian architecture.
  • 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: Latada
Triple: [University of Coimbra, hasStudentTradition, Latada]
Generated description
Latada is a traditional student festival at the University of Coimbra, marked by parades, music, and academic rituals celebrating the start of the academic year.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Latada
Target entity description: Latada is a traditional student festival at the University of Coimbra, marked by parades, music, and academic rituals celebrating the start of the academic year.
  • A. Lata
    Lata is the main town and administrative center of Temotu Province in the eastern Solomon Islands.
  • B. Lata
    Lata is the given name of Lata Mangeshkar, the legendary Indian playback singer renowned as the "Nightingale of India."
  • C. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • D. Aluta
    Aluta is the historical name of the Olt River, a major waterway flowing through central Romania.
  • E. Lakka
    Lakka is a picturesque coastal village on the Greek island of Paxos, known for its sheltered bay, clear turquoise waters, and traditional Ionian architecture.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22a3cf081908c20b6fb55be0db2 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4330de7a08190933aa7e9dc0a65be completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b437cf839881909b1d505328285123 completed March 13, 2026, 4:14 p.m.
NED2 Entity disambiguation (via description) batch_69b43835994c81909230bbb21b12b8ef completed March 13, 2026, 4:15 p.m.
Created at: March 8, 2026, 3:22 p.m.