Triple
T907845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rednitz |
E19589
|
entity |
| Predicate | riverSystem |
P1009
|
FINISHED |
| Object | Main |
E41131
|
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: Main | Statement: [Rednitz, riverSystem, Main]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Main Context triple: [Rednitz, riverSystem, Main]
-
A.
Main
chosen
The Main is a major river in Germany that flows through central regions including the state of Bavaria before joining the Rhine.
-
B.
Home
Home is a 2012 novel by Toni Morrison that follows a Korean War veteran’s journey back to his racially segregated hometown in the American South, exploring themes of trauma, memory, and belonging.
-
C.
Home
"Home" is a track from Common's politically charged hip-hop album *Black America Again*, reflecting themes of identity, struggle, and belonging.
-
D.
Ma
Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
-
E.
Main Camp
Main Camp is the central residential and social complex of Great Camp Santanoni, a historic Adirondack great camp in New York.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2cdc1788190a704809404f49986 |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c73b3a848190859df2eed9a21fc5 |
completed | March 4, 2026, 5:46 a.m. |
Created at: March 1, 2026, 7:39 p.m.