Triple

T37409679
Position Surface form Disambiguated ID Type / Status
Subject Jun-fan E929526 entity
Predicate hasBearerBirthPlace P1 FINISHED
Object San Francisco
San Francisco is a major coastal city in Northern California known for its iconic Golden Gate Bridge, steep hills, diverse culture, and role as a historic center of technology and counterculture.
 E242 NE FINISHED

How this triple was built (3 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 Francisco | Statement: [Jun-fan, hasBearerBirthPlace, San Francisco]
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 Francisco
Triple: [Jun-fan, hasBearerBirthPlace, San Francisco]
Generated description
San Francisco is a major coastal city in Northern California known for its iconic Golden Gate Bridge, steep hills, diverse culture, and role as a historic center of technology and counterculture.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasBearerBirthPlace
Context triple: [Jun-fan, hasBearerBirthPlace, San Francisco]
  • A. bearerBirthNameOf
    Indicates that one entity is the birth name originally given to and borne by another entity.
  • B. containsBirthplaceTown
    Indicates that one entity includes or specifies the town where another entity was born.
  • C. bearerFounded
    Indicates that the bearer (such as a person or organization) is the one who established or created the associated entity (such as a company, institution, or project).
  • D. placeOfBirth chosen
    Indicates the location where a person or other entity was born.
  • E. titleHolderBirthTerritory
    Indicates the territory in which the holder of a title was born.
  • F. None of above.

Provenance (6 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_69f76ebde49481908566cd96b37ccc84 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fd4f39b5008190b83b3227ce22c509 completed May 8, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a4076f701f8819088bc2e76a4bada07 completed June 28, 2026, 1:20 a.m.
NEDg Description generation batch_6a407815cb2c819081f70306820721b0 completed June 28, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_6a40791b81a481908283707caf3d7394 completed June 28, 2026, 1:30 a.m.
PD Predicate disambiguation batch_69fd4df17c548190a4e2a6fea70f7e10 completed May 8, 2026, 2:44 a.m.
Created at: May 3, 2026, 4:16 p.m.