Triple

T2925109
Position Surface form Disambiguated ID Type / Status
Subject Mikel Arteta E78823 entity
Predicate youthClub P1088 FINISHED
Object Antiguoko
Antiguoko is a Spanish youth football club known for developing talented players who go on to professional careers.
E310495 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: Antiguoko | Statement: [Mikel Arteta, youthClub, Antiguoko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antiguoko
Context triple: [Mikel Arteta, youthClub, Antiguoko]
  • A. Παλαιά Ανάκτορα
    Παλαιά Ανάκτορα είναι το ιστορικό κτίριο στο κέντρο της Αθήνας που στέγαζε τα παλιά βασιλικά ανάκτορα και σήμερα φιλοξενεί τη Βουλή των Ελλήνων.
  • B. Antistia
    Antistia was the first wife of the Roman general and statesman Pompey the Great, whom he married early in his political career.
  • C. Andal
    Andal is a revered female Tamil Vaishnavite saint and poet, celebrated for her devotional hymns to Vishnu and her central place in the Sri Vaishnavism tradition.
  • D. Longiano
    Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
  • E. Trun
    Trun is a commune in northwestern France that became historically significant as a focal point in the closing encirclement of German forces during the Battle of the Falaise Pocket in World War II.
  • 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: Antiguoko
Triple: [Mikel Arteta, youthClub, Antiguoko]
Generated description
Antiguoko is a Spanish youth football club known for developing talented players who go on to professional careers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Antiguoko
Target entity description: Antiguoko is a Spanish youth football club known for developing talented players who go on to professional careers.
  • A. Παλαιά Ανάκτορα
    Παλαιά Ανάκτορα είναι το ιστορικό κτίριο στο κέντρο της Αθήνας που στέγαζε τα παλιά βασιλικά ανάκτορα και σήμερα φιλοξενεί τη Βουλή των Ελλήνων.
  • B. Antistia
    Antistia was the first wife of the Roman general and statesman Pompey the Great, whom he married early in his political career.
  • C. Andal
    Andal is a revered female Tamil Vaishnavite saint and poet, celebrated for her devotional hymns to Vishnu and her central place in the Sri Vaishnavism tradition.
  • D. Longiano
    Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
  • E. Trun
    Trun is a commune in northwestern France that became historically significant as a focal point in the closing encirclement of German forces during the Battle of the Falaise Pocket in World War II.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97c086888190ba51ce659a6c4f50 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0563a81788190b94fab34e41a76e7 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b062a0f74c8190943739f4cda3c614 completed March 10, 2026, 6:27 p.m.
NED2 Entity disambiguation (via description) batch_69b0631e65e88190bd425222c60637db completed March 10, 2026, 6:29 p.m.
Created at: March 8, 2026, 2:55 p.m.