Triple
T9543200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firelands Museum |
E230210
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object |
Norwalk
Norwalk is a small city in northern Ohio that serves as the county seat of Huron County and a regional center for local history and culture.
|
E847066
|
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: Norwalk | Statement: [Firelands Museum, city, Norwalk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norwalk Context triple: [Firelands Museum, city, Norwalk]
-
A.
Norwalk
Norwalk is a suburban city in southeastern Los Angeles County, California, known as a residential community and transit hub near the eastern terminus of the Metro C Line.
-
B.
Norwalk
Norwalk is a coastal city in southwestern Connecticut known for its maritime heritage, harbor, and proximity to Long Island Sound.
-
C.
Norwalk
Norwalk is a small suburban city in central Iowa, located just south of Des Moines.
-
D.
East Haven
East Haven is a coastal town in southern Connecticut, located just east of the city of New Haven along Long Island Sound.
-
E.
West Haven
West Haven is a coastal city in southern Connecticut known for its public beaches and shoreline along Long Island Sound.
- 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: Norwalk Triple: [Firelands Museum, city, Norwalk]
Generated description
Norwalk is a small city in northern Ohio that serves as the county seat of Huron County and a regional center for local history and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norwalk Target entity description: Norwalk is a small city in northern Ohio that serves as the county seat of Huron County and a regional center for local history and culture.
-
A.
Norwalk
Norwalk is a suburban city in southeastern Los Angeles County, California, known as a residential community and transit hub near the eastern terminus of the Metro C Line.
-
B.
Norwalk
Norwalk is a coastal city in southwestern Connecticut known for its maritime heritage, harbor, and proximity to Long Island Sound.
-
C.
Norwalk
Norwalk is a small suburban city in central Iowa, located just south of Des Moines.
-
D.
East Haven
East Haven is a coastal town in southern Connecticut, located just east of the city of New Haven along Long Island Sound.
-
E.
West Haven
West Haven is a coastal city in southern Connecticut known for its public beaches and shoreline along Long Island Sound.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e9be048190bf1f01884ff7c362 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d316faaed48190aa51e52b5b774cd8 |
completed | April 6, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69d3183a8410819094e81fe9f43717b2 |
completed | April 6, 2026, 2:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d318adfcb081909a3567f5327765ab |
completed | April 6, 2026, 2:21 a.m. |
Created at: March 30, 2026, 8:01 p.m.