Triple
T7735680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucas Zelarayán |
E175373
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Zelarayán
Zelarayán is a Spanish-language surname most notably borne by Argentine-born professional footballer Lucas Zelarayán.
|
E684902
|
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: Zelarayán | Statement: [Lucas Zelarayán, familyName, Zelarayán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zelarayán Context triple: [Lucas Zelarayán, familyName, Zelarayán]
-
A.
Requena
Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
-
B.
Requena
Requena is a small Peruvian city in the Loreto region, known as a remote Amazonian river port and gateway to surrounding rainforest communities.
-
C.
Caleruega
Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
-
D.
Larrea
Larrea is a genus of hardy desert shrubs in the caltrop family, best known for the creosote bush that dominates many arid landscapes of the Americas.
-
E.
Arganzuela
Arganzuela is a central district of Madrid, Spain, known for its extensive redevelopment along the Manzanares River and its mix of residential areas, cultural venues, and green spaces.
- 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: Zelarayán Triple: [Lucas Zelarayán, familyName, Zelarayán]
Generated description
Zelarayán is a Spanish-language surname most notably borne by Argentine-born professional footballer Lucas Zelarayán.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zelarayán Target entity description: Zelarayán is a Spanish-language surname most notably borne by Argentine-born professional footballer Lucas Zelarayán.
-
A.
Requena
Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
-
B.
Requena
Requena is a small Peruvian city in the Loreto region, known as a remote Amazonian river port and gateway to surrounding rainforest communities.
-
C.
Caleruega
Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
-
D.
Larrea
Larrea is a genus of hardy desert shrubs in the caltrop family, best known for the creosote bush that dominates many arid landscapes of the Americas.
-
E.
Arganzuela
Arganzuela is a central district of Madrid, Spain, known for its extensive redevelopment along the Manzanares River and its mix of residential areas, cultural venues, and green spaces.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7033afbb881909b7ed2cc8f6c27c3 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b53684e48190a7abda841d6cb158 |
completed | March 29, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69c8b73fbcbc8190a2f789bc89ccfef3 |
completed | March 29, 2026, 5:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b7f98f84819098c48d55be4fc89d |
completed | March 29, 2026, 5:26 a.m. |
Created at: March 27, 2026, 4:06 p.m.