Triple
T16698771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japantown, San Francisco |
E405786
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
J-Town
J-Town is the common nickname for San Francisco’s historic Japantown neighborhood, a cultural hub for Japanese-American shops, restaurants, and community events.
|
E1229304
|
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: J-Town | Statement: [Japantown, San Francisco, alsoKnownAs, J-Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J-Town Context triple: [Japantown, San Francisco, alsoKnownAs, J-Town]
-
A.
J-town
J-town is the commonly used nickname for Jeffersontown, a suburban city located near Louisville in Jefferson County, Kentucky.
-
B.
Jacktown
Jacktown is a colloquial nickname commonly used to refer to the city of Jackson, Mississippi.
-
C.
B-Town
B-Town is a common nickname for Bloomington, Indiana, a vibrant Midwestern college city best known as the home of Indiana University.
-
D.
South Town
South Town is a fictional, crime-ridden American metropolis that serves as the primary backdrop for SNK’s Fatal Fury and related fighting game series.
-
E.
K-ville
K-ville is the famous tent city outside Duke University's Cameron Indoor Stadium where students camp out for tickets to men's basketball games.
- 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: J-Town Triple: [Japantown, San Francisco, alsoKnownAs, J-Town]
Generated description
J-Town is the common nickname for San Francisco’s historic Japantown neighborhood, a cultural hub for Japanese-American shops, restaurants, and community events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: J-Town Target entity description: J-Town is the common nickname for San Francisco’s historic Japantown neighborhood, a cultural hub for Japanese-American shops, restaurants, and community events.
-
A.
J-town
J-town is the commonly used nickname for Jeffersontown, a suburban city located near Louisville in Jefferson County, Kentucky.
-
B.
Jacktown
Jacktown is a colloquial nickname commonly used to refer to the city of Jackson, Mississippi.
-
C.
B-Town
B-Town is a common nickname for Bloomington, Indiana, a vibrant Midwestern college city best known as the home of Indiana University.
-
D.
South Town
South Town is a fictional, crime-ridden American metropolis that serves as the primary backdrop for SNK’s Fatal Fury and related fighting game series.
-
E.
K-ville
K-ville is the famous tent city outside Duke University's Cameron Indoor Stadium where students camp out for tickets to men's basketball games.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3832f550c8190bf7514d4611dec6a |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919ee61c81909928dd26270e9614 |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00925fda608190b3674bd5e9ca6bf5 |
completed | May 10, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00939075d88190a63cdd942eb3fea8 |
completed | May 10, 2026, 2:17 p.m. |
Created at: April 10, 2026, 5:19 a.m.