Triple
T22309508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stark County |
E551475
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Beach City
Beach City is a small village in Stark County, Ohio, known for its rural residential character within the Canton–Massillon metropolitan area.
|
E1529822
|
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: Beach City | Statement: [Stark County, hasSettlement, Beach City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beach City Context triple: [Stark County, hasSettlement, Beach City]
-
A.
Beach City
Beach City is the small coastal town in the animated series "Steven Universe," known as the home of Steven, the Crystal Gems, and many of the show's central events.
-
B.
Coast City
Coast City is a major fictional American coastal metropolis in the DC Universe, best known as the longtime home of Green Lantern Hal Jordan.
-
C.
Verona Beach
Verona Beach is the modern, stylized coastal city that serves as the backdrop for Baz Luhrmann’s 1996 film adaptation of Shakespeare’s "Romeo + Juliet."
-
D.
Seatown
Seatown is a coastal residential area forming part of the town of Lossiemouth in Moray, Scotland.
-
E.
Seatown
Seatown is a small coastal village in Dorset, England, known for its beach, cliffs, and location along the Jurassic Coast.
- 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: Beach City Triple: [Stark County, hasSettlement, Beach City]
Generated description
Beach City is a small village in Stark County, Ohio, known for its rural residential character within the Canton–Massillon metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beach City Target entity description: Beach City is a small village in Stark County, Ohio, known for its rural residential character within the Canton–Massillon metropolitan area.
-
A.
Beach City
Beach City is the small coastal town in the animated series "Steven Universe," known as the home of Steven, the Crystal Gems, and many of the show's central events.
-
B.
Coast City
Coast City is a major fictional American coastal metropolis in the DC Universe, best known as the longtime home of Green Lantern Hal Jordan.
-
C.
Verona Beach
Verona Beach is the modern, stylized coastal city that serves as the backdrop for Baz Luhrmann’s 1996 film adaptation of Shakespeare’s "Romeo + Juliet."
-
D.
Seatown
Seatown is a coastal residential area forming part of the town of Lossiemouth in Moray, Scotland.
-
E.
Seatown
Seatown is a small coastal village in Dorset, England, known for its beach, cliffs, and location along the Jurassic Coast.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574d53148190a1ec07f849e1ae9d |
completed | April 29, 2026, 12:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0acca39c4c8190a418ec2ff1434122 |
completed | May 18, 2026, 8:24 a.m. |
| NEDg | Description generation | batch_6a0acf8c37d48190990bc7e1152f98b3 |
completed | May 18, 2026, 8:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0acff349248190a13968f340cdebcf |
completed | May 18, 2026, 8:38 a.m. |
Created at: April 16, 2026, 8:42 p.m.