Triple

T6392655
Position Surface form Disambiguated ID Type / Status
Subject Gaspar de Portolá E143865 entity
Predicate familyName P18 FINISHED
Object Portolá
Portolá is a Spanish surname most notably associated with Gaspar de Portolá, the 18th-century explorer and first Spanish governor of Alta California.
 E590798 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: Portolá | Statement: [Gaspar de Portolá, familyName, Portolá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Portolá
Context triple: [Gaspar de Portolá, familyName, Portolá]
  • A. Colón
    Colón is a major Panamanian port city on the Caribbean coast, known as a key gateway to the Panama Canal and an important center for trade and shipping.
  • B. Colón
    Colón is a municipality and city in western Cuba known for its agricultural surroundings and colonial-era architecture.
  • C. Argüelles
    Argüelles is a Madrid Metro station serving the Argüelles neighborhood, providing an interchange between several central metro lines.
  • D. San Policarpo
    San Policarpo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and exposure to Pacific typhoons.
  • E. Cervera
    Cervera is a Spanish surname historically associated with notable figures such as Admiral Pascual Cervera y Topete.
  • 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: Portolá
Triple: [Gaspar de Portolá, familyName, Portolá]
Generated description
Portolá is a Spanish surname most notably associated with Gaspar de Portolá, the 18th-century explorer and first Spanish governor of Alta California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Portolá
Target entity description: Portolá is a Spanish surname most notably associated with Gaspar de Portolá, the 18th-century explorer and first Spanish governor of Alta California.
  • A. Colón
    Colón is a major Panamanian port city on the Caribbean coast, known as a key gateway to the Panama Canal and an important center for trade and shipping.
  • B. Colón
    Colón is a municipality and city in western Cuba known for its agricultural surroundings and colonial-era architecture.
  • C. Argüelles
    Argüelles is a Madrid Metro station serving the Argüelles neighborhood, providing an interchange between several central metro lines.
  • D. San Policarpo
    San Policarpo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and exposure to Pacific typhoons.
  • E. Cervera
    Cervera is a Spanish surname historically associated with notable figures such as Admiral Pascual Cervera y Topete.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687f5c6c81909c835329c996b311 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6388f42648190adbc2d1c1efa75a5 completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c63c5d5e2881908a27021616c69b97 completed March 27, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_69c63cb876788190a26ae84c2c69df95 completed March 27, 2026, 8:15 a.m.
Created at: March 22, 2026, 4:34 p.m.