Triple
T3987115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Another World |
E86899
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Bay City |
E49042
|
NE FINISHED |
How this triple was built (2 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: Bay City | Statement: [Another World, setting, Bay City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bay City Context triple: [Another World, setting, Bay City]
-
A.
Bay City
chosen
Bay City is a small industrial and port city in east-central Michigan located near Saginaw Bay on Lake Huron.
-
B.
Marine City
Marine City is a modern high-rise waterfront district in Busan, South Korea, known for its luxury apartments, striking skyline, and scenic views near Haeundae Beach.
-
C.
Birmingham, Michigan
Birmingham, Michigan is an affluent suburban city in the Detroit metropolitan area known for its upscale shopping district, walkable downtown, and high quality of life.
-
D.
Vicksburg, Michigan
Vicksburg, Michigan is a small village in southwestern Michigan known for its historic downtown, annual community festivals, and proximity to the city of Kalamazoo.
-
E.
Saginaw
Saginaw is a city in central Michigan known for its industrial history, location along the Saginaw River, and role as a regional economic and cultural center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9fe355081909b04662ab44fe2ca |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3a763c5081909cfb4b209207c859 |
completed | March 22, 2026, 12:40 a.m. |
Created at: March 9, 2026, 3:33 p.m.