Triple

T11176140
Position Surface form Disambiguated ID Type / Status
Subject Anza Vista E264416 entity
Predicate near P350 FINISHED
Object NOPA
NOPA is a trendy San Francisco neighborhood known for its vibrant dining scene, historic architecture, and proximity to the Panhandle and Golden Gate Park.
 E910523 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: NOPA | Statement: [Anza Vista, near, NOPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NOPA
Context triple: [Anza Vista, near, NOPA]
  • A. NYP
    NYP is the abbreviation for the New York Philharmonic, one of the oldest and most renowned symphony orchestras in the United States.
  • B. NPA
    NPA is the central national law enforcement body of Japan responsible for overseeing police operations and public security across the country.
  • C. NPA
    NPA is the FAA location identifier for Naval Air Station Pensacola, a major U.S. Navy aviation training base in Florida.
  • D. NOA
    NOA is the three-letter National Rail station code for Newton-on-Ayr railway station in South Ayrshire, Scotland.
  • E. N.Y.P.D.
    N.Y.P.D. is an American police procedural television series from the late 1960s that followed the cases of New York City detectives.
  • 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: NOPA
Triple: [Anza Vista, near, NOPA]
Generated description
NOPA is a trendy San Francisco neighborhood known for its vibrant dining scene, historic architecture, and proximity to the Panhandle and Golden Gate Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NOPA
Target entity description: NOPA is a trendy San Francisco neighborhood known for its vibrant dining scene, historic architecture, and proximity to the Panhandle and Golden Gate Park.
  • A. NYP
    NYP is the abbreviation for the New York Philharmonic, one of the oldest and most renowned symphony orchestras in the United States.
  • B. NPA
    NPA is the central national law enforcement body of Japan responsible for overseeing police operations and public security across the country.
  • C. NPA
    NPA is the FAA location identifier for Naval Air Station Pensacola, a major U.S. Navy aviation training base in Florida.
  • D. NOA
    NOA is the three-letter National Rail station code for Newton-on-Ayr railway station in South Ayrshire, Scotland.
  • E. N.Y.P.D.
    N.Y.P.D. is an American police procedural television series from the late 1960s that followed the cases of New York City detectives.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8987e1081909b28a0bdb866beae completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4838f19388190af6fde7d4275ce2a completed April 19, 2026, 7:26 a.m.
NEDg Description generation batch_69e48788be688190a109ccb8281d3dc9 completed April 19, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_69e4890c12388190838d350207492c9e completed April 19, 2026, 7:49 a.m.
Created at: April 8, 2026, 9:29 p.m.