Triple
T10820098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco |
E255343
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Fog City
Fog City is a popular nickname for San Francisco, highlighting the city's famously frequent fog.
|
E887813
|
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: Fog City | Statement: [San Francisco, hasNickname, Fog City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fog City Context triple: [San Francisco, hasNickname, Fog City]
-
A.
Fog City
Fog City is a popular nickname for Chongqing, a major southwestern Chinese metropolis famous for its humid, mist-covered climate and dense urban landscape.
-
B.
River City
River City is a popular nickname for Wuhan, a major central Chinese metropolis known for its location at the confluence of the Yangtze and Han rivers.
-
C.
River City
River City is a common nickname and place name in the United States, often referring to cities situated along major rivers and popularized in American culture and media.
-
D.
River City
River City is a popular nickname for Sacramento, California, highlighting the city’s close connection to the nearby American and Sacramento Rivers.
-
E.
River City
River City is a popular nickname for Richmond, Virginia, highlighting the city's location along the James River and its historic riverfront character.
- 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: Fog City Triple: [San Francisco, hasNickname, Fog City]
Generated description
Fog City is a popular nickname for San Francisco, highlighting the city's famously frequent fog.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fog City Target entity description: Fog City is a popular nickname for San Francisco, highlighting the city's famously frequent fog.
-
A.
Fog City
Fog City is a popular nickname for Chongqing, a major southwestern Chinese metropolis famous for its humid, mist-covered climate and dense urban landscape.
-
B.
River City
River City is a popular nickname for Wuhan, a major central Chinese metropolis known for its location at the confluence of the Yangtze and Han rivers.
-
C.
River City
River City is a common nickname and place name in the United States, often referring to cities situated along major rivers and popularized in American culture and media.
-
D.
River City
River City is a popular nickname for Sacramento, California, highlighting the city’s close connection to the nearby American and Sacramento Rivers.
-
E.
River City
River City is a popular nickname for Richmond, Virginia, highlighting the city's location along the James River and its historic riverfront character.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73449eee88190afa52c4e6ef96baa |
completed | April 9, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8569178481909474e939a3e4c217 |
completed | April 14, 2026, 6:20 p.m. |
| NEDg | Description generation | batch_69de8955b9d8819086ff98efbff6c7a0 |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8f4a318c819086559fd53506ab29 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 8, 2026, 9:18 p.m.