Triple
T15187726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayen-Koblenz |
E362920
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Spay |
E362922
|
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: Spay | Statement: [Mayen-Koblenz, containsMunicipality, Spay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spay Context triple: [Mayen-Koblenz, containsMunicipality, Spay]
-
A.
Spay
chosen
Spay is a municipality on the left bank of the Rhine River in Rhineland-Palatinate, Germany, known for its winegrowing and picturesque riverside setting.
-
B.
Catt
Catt is the surname of Carrie Chapman Catt, a prominent American suffragist and peace activist who played a leading role in the women’s suffrage movement.
-
C.
Catiti
Catiti was a Tewa religious leader and key organizer of the 1680 Pueblo Revolt against Spanish colonial rule in present-day New Mexico.
-
D.
Doe
Doe is the anonymous student respondent in the U.S. Supreme Court case Santa Fe Independent School District v. Doe, which challenged student-led prayer at public school football games.
-
E.
Doe
Doe is a music producer known for working on the track "Sweat."
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067995fc8190b048f15086bd42f0 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec895b59c81908a09f8393a35aa13 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.