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.