Triple
T12617989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memmingen |
E301302
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Ach |
E752211
|
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: Ach | Statement: [Memmingen, locatedOnRiver, Ach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ach Context triple: [Memmingen, locatedOnRiver, Ach]
-
A.
Ach
chosen
Ach is a small river in Bavaria, Germany, known as one of the tributaries feeding into the Ammer River.
-
B.
Achozen
Achozen is an experimental hip hop project featuring System of a Down bassist Shavo Odadjian and Wu-Tang Clan member RZA, known for its genre-blending, psychedelic sound.
-
C.
Ahan
Ahan is a lesser-known Niger-Congo language spoken in parts of Nigeria, closely related to and geographically adjacent to Ukaan.
-
D.
Achao
Achao is a small coastal town on Quinchao Island in southern Chile, known for its traditional wooden architecture and historic UNESCO-listed church.
-
E.
ACH
ACH is a modern U.S. military combat helmet designed to provide improved ballistic protection, comfort, and compatibility with communication and night-vision equipment.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c63ea48190ae1aae9280a023a6 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed507988190b9d46586f3c3584c |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:13 p.m.