Triple
T13754632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donau-Ries |
E330443
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Genderkingen
Genderkingen is a small municipality in the Bavarian region of southern Germany.
|
E1060505
|
NE FINISHED |
How this triple was built (4 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: Genderkingen | Statement: [Donau-Ries, containsMunicipality, Genderkingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Genderkingen Context triple: [Donau-Ries, containsMunicipality, Genderkingen]
-
A.
Kings and Queen
Kings and Queen is a 2004 French drama film by Arnaud Desplechin that intertwines the lives of a woman facing family turmoil and her eccentric ex-lover, blending dark humor with emotional intensity.
-
B.
Kings and Queens
"Kings and Queens" is a 1978 hard rock power ballad by Aerosmith, known for its dark, medieval-themed lyrics and prominent guitar work.
-
C.
King & Queen
King & Queen is a 1967 soul album by Otis Redding and Carla Thomas, featuring duets that blend Southern soul and Memphis R&B styles.
-
D.
KING
KING is the stock ticker symbol for King Digital Entertainment, the video game company best known for creating the mobile puzzle game Candy Crush Saga.
-
E.
KING
KING is a television station in Seattle, Washington, known for its local news coverage and affiliation with major U.S. broadcast networks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Genderkingen Triple: [Donau-Ries, containsMunicipality, Genderkingen]
Generated description
Genderkingen is a small municipality in the Bavarian region of southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Genderkingen Target entity description: Genderkingen is a small municipality in the Bavarian region of southern Germany.
-
A.
Kings and Queen
Kings and Queen is a 2004 French drama film by Arnaud Desplechin that intertwines the lives of a woman facing family turmoil and her eccentric ex-lover, blending dark humor with emotional intensity.
-
B.
Kings and Queens
"Kings and Queens" is a 1978 hard rock power ballad by Aerosmith, known for its dark, medieval-themed lyrics and prominent guitar work.
-
C.
King & Queen
King & Queen is a 1967 soul album by Otis Redding and Carla Thomas, featuring duets that blend Southern soul and Memphis R&B styles.
-
D.
KING
KING is the stock ticker symbol for King Digital Entertainment, the video game company best known for creating the mobile puzzle game Candy Crush Saga.
-
E.
KING
KING is a television station in Seattle, Washington, known for its local news coverage and affiliation with major U.S. broadcast networks.
- F. None of above. chosen
Provenance (5 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02179c948190a652cc8c586e418f |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a859e6748190aa1899830a02b710 |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a91deb3c8190ad2be7f1ca99ac9b |
completed | May 3, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ad51c6808190afa80fc3622399bf |
completed | May 3, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:09 p.m.