Triple

T14550016
Position Surface form Disambiguated ID Type / Status
Subject San Carlos Dam E341390 entity
Predicate namedAfter P63 FINISHED
Object San Carlos
San Carlos is a city in Arizona that lends its name to the nearby San Carlos Dam and is closely associated with the San Carlos Apache Indian Reservation.
 E1105365 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: San Carlos | Statement: [San Carlos Dam, namedAfter, San Carlos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Carlos
Context triple: [San Carlos Dam, namedAfter, San Carlos]
  • A. San Carlos
    San Carlos is a Nicaraguan town that serves as a key river and lake port near the southeastern end of Lake Nicaragua.
  • B. San Carlos
    San Carlos is a historic town in northwestern Argentina’s Salta Province, known for its colonial architecture, wine production, and role as a cultural hub in the Calchaquí Valleys.
  • C. San Carlos
    San Carlos is a city in San Mateo County, California, located on the San Francisco Peninsula between Belmont and Redwood City.
  • D. San Carlos
    San Carlos is a Chilean city known as an agricultural and commercial center in the Ñuble Region.
  • E. San Carlos
    San Carlos is a municipality located in the Morazán Department of northeastern El Salvador, known for its rural character and mountainous surroundings.
  • 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: San Carlos
Triple: [San Carlos Dam, namedAfter, San Carlos]
Generated description
San Carlos is a city in Arizona that lends its name to the nearby San Carlos Dam and is closely associated with the San Carlos Apache Indian Reservation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Carlos
Target entity description: San Carlos is a city in Arizona that lends its name to the nearby San Carlos Dam and is closely associated with the San Carlos Apache Indian Reservation.
  • A. San Carlos
    San Carlos is a city in San Mateo County, California, located on the San Francisco Peninsula between Belmont and Redwood City.
  • B. San Carlos
    San Carlos is a historic town in northwestern Argentina’s Salta Province, known for its colonial architecture, wine production, and role as a cultural hub in the Calchaquí Valleys.
  • C. San Carlos
    San Carlos is a Chilean city known as an agricultural and commercial center in the Ñuble Region.
  • D. San Carlos
    San Carlos is a Nicaraguan town that serves as a key river and lake port near the southeastern end of Lake Nicaragua.
  • E. San Carlos
    San Carlos is a municipality located in the Morazán Department of northeastern El Salvador, known for its rural character and mountainous surroundings.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ed2b4c8190945bd26531c71f1f completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a6344b08190a3c1124c6dd7da96 completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7cede0548190a3712a773982300b completed May 8, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_69fd7e915db88190af076e979207a458 completed May 8, 2026, 6:11 a.m.
Created at: April 10, 2026, 1:23 a.m.