Triple

T30398308
Position Surface form Disambiguated ID Type / Status
Subject Santiago de los Caballeros E773280 entity
Predicate alsoKnownAs P39 FINISHED
Object Santiago de los Treinta Caballeros
Santiago de los Treinta Caballeros is a major city in the Dominican Republic, known as one of the country’s oldest urban centers and an important cultural and economic hub in the Cibao region.
E1918106 NE FINISHED

How this triple was built (2 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: Santiago de los Treinta Caballeros | Statement: [Santiago de los Caballeros, alsoKnownAs, Santiago de los Treinta Caballeros]
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: Santiago de los Treinta Caballeros
Triple: [Santiago de los Caballeros, alsoKnownAs, Santiago de los Treinta Caballeros]
Generated description
Santiago de los Treinta Caballeros is a major city in the Dominican Republic, known as one of the country’s oldest urban centers and an important cultural and economic hub in the Cibao region.

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_69f2248facd48190b183c3f3ca6daef7 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f686150f908190ba57742775f07870 completed May 2, 2026, 11:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27ac0c93648190b61d8bda412bfb52 completed June 9, 2026, 6 a.m.
NEDg Description generation batch_6a27acef0d7481908899cea092a71c89 completed June 9, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a27b605cb7081908d5e7d9110812466 completed June 9, 2026, 6:43 a.m.
Created at: April 29, 2026, 8:03 p.m.