Triple
T11453767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blawenburg Historic District |
E271469
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Blawenburg |
E522012
|
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: Blawenburg | Statement: [Blawenburg Historic District, namedAfter, Blawenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blawenburg Context triple: [Blawenburg Historic District, namedAfter, Blawenburg]
-
A.
Blawenburg, New Jersey
chosen
Blawenburg, New Jersey is an unincorporated historic village in Somerset County known for its rural character and 19th-century architecture.
-
B.
Beffendorf
Beffendorf is a village and district of the town Oberndorf am Neckar in the German state of Baden-Württemberg.
-
C.
Hofstadt
Hofstadt is the maiden surname of Betty Draper, a central character on the television series "Mad Men."
-
D.
Cinnaminson
Cinnaminson is a suburban township in Burlington County, New Jersey, located along the Delaware River and within the Philadelphia metropolitan area.
-
E.
Waldstadt
Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c7057688190ad8aa99426e4ca30 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3d740008190a05ccb789ac0906d |
completed | April 20, 2026, 7:20 a.m. |
Created at: April 8, 2026, 9:35 p.m.