Triple
T4006072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhine-Main metropolitan region |
E89528
|
entity |
| Predicate | hasRiver |
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: [Rhine-Main metropolitan region, hasRiver, Main]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Main Context triple: [Rhine-Main metropolitan region, hasRiver, 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 Post
Main Post is the historic core of the Presidio of San Francisco, featuring former military headquarters, parade grounds, and preserved buildings that now serve cultural, recreational, and visitor uses.
-
C.
Main Board
The Main Board of the Shanghai Stock Exchange is its primary market segment where large, established companies list and trade their shares.
-
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.
Main Stage
Main Stage is the principal performance area at the Open'er Festival, hosting its biggest and most prominent acts.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa60c500819084fcba785b2bf801 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55626f19c8190af4705b1cd3b201d |
completed | March 14, 2026, 12:35 p.m. |
Created at: March 9, 2026, 3:34 p.m.