Triple
T2788810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Duchy of Hesse |
E61875
|
entity |
| Predicate | majorRiver |
P165
|
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: [Grand Duchy of Hesse, majorRiver, Main]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Main Context triple: [Grand Duchy of Hesse, majorRiver, 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.
Main Board
The Main Board of the Shanghai Stock Exchange is its primary market segment where large, established companies list and trade their shares.
-
C.
Main Market
Main Market is the London Stock Exchange’s primary listing venue for large, established companies that meet the exchange’s highest regulatory and disclosure standards.
-
D.
Bei Maejor
Bei Maejor, also known as Maejor, is an American singer, songwriter, and record producer recognized for his work in R&B and hip-hop music.
-
E.
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.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddb3d63c8190b3ab5fa363c69db8 |
completed | March 7, 2026, 8:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6589558819088442f09db328dac |
completed | March 10, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:58 p.m.