Triple
T15722191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren County |
E381123
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object | Belvidere |
E1174453
|
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: Belvidere | Statement: [Warren County, countySeat, Belvidere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belvidere Context triple: [Warren County, countySeat, Belvidere]
-
A.
Belvidere
chosen
Belvidere is a small historic town in northwestern New Jersey that serves as the administrative and cultural center of Warren County.
-
B.
Belvidere
Belvidere is a small industrial city in northern Illinois known historically for its automotive manufacturing and location along the Kishwaukee River.
-
C.
Elmora
Elmora is a residential neighborhood within the city of Elizabeth in Union County, New Jersey.
-
D.
Dodgeville
Dodgeville is a small city in southwestern Wisconsin that serves as the county seat of Iowa County and a regional hub for the surrounding rural area.
-
E.
Elk Rapids
Elk Rapids is a small village in northern Michigan known for its scenic waterfront, charming downtown, and access to Grand Traverse Bay and nearby inland lakes.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb0b51081908e652ec4992296fa |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff876759288190b263cbea00fdaba4 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:45 a.m.