Triple
T11912052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum Giersch |
E283419
|
entity |
| Predicate | locatedOnRiver |
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: [Museum Giersch, locatedOnRiver, Main]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Main Context triple: [Museum Giersch, locatedOnRiver, 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.
Mainit
Mainit is a lakeside municipality in the province of Surigao del Norte in the Philippines, known for its hot springs and proximity to Lake Mainit.
-
D.
Haupt
Haupt is the surname of Enid A. Haupt, an American publisher and philanthropist known for her major contributions to horticulture and the arts.
-
E.
Red Main
The Red Main is a river in northern Bavaria, Germany, that flows through the city of Bayreuth and forms one of the two headstreams of the Main River.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e528f6748190ac873a040a61fa93 |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4185fd3588190807cc2906c4ce3fd |
completed | May 1, 2026, 3:05 a.m. |
Created at: April 8, 2026, 9:44 p.m.