Triple
T19335266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giessen district |
E483605
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Langgöns
Langgöns is a municipality in the German state of Hesse, located in the central part of the country.
|
E1370627
|
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: Langgöns | Statement: [Giessen district, contains, Langgöns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langgöns Context triple: [Giessen district, contains, Langgöns]
-
A.
Löningen
Löningen is a small town and municipality in Lower Saxony, Germany, known for its rural character and location within the Cloppenburg district.
-
B.
Göda
Göda is a small municipality in the German state of Saxony, located near the town of Bautzen in eastern Germany.
-
C.
Norén
Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
-
D.
Sköndal
Sköndal is a residential district in southern Stockholm, Sweden, known for its green areas and proximity to lakes.
-
E.
Grossgrunden
Grossgrunden is one of the islands in the Holmön archipelago off the coast of northern Sweden in the Gulf of Bothnia.
- 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: Langgöns Triple: [Giessen district, contains, Langgöns]
Generated description
Langgöns is a municipality in the German state of Hesse, located in the central part of the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langgöns Target entity description: Langgöns is a municipality in the German state of Hesse, located in the central part of the country.
-
A.
Löningen
Löningen is a small town and municipality in Lower Saxony, Germany, known for its rural character and location within the Cloppenburg district.
-
B.
Göda
Göda is a small municipality in the German state of Saxony, located near the town of Bautzen in eastern Germany.
-
C.
Norén
Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
-
D.
Sköndal
Sköndal is a residential district in southern Stockholm, Sweden, known for its green areas and proximity to lakes.
-
E.
Grossgrunden
Grossgrunden is one of the islands in the Holmön archipelago off the coast of northern Sweden in the Gulf of Bothnia.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61644b80c819080f9bca086424a36 |
completed | April 20, 2026, 12:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071be4ca388190986a61eb535df4bd |
completed | May 15, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_6a071ca19f308190ac9072c5a8d3b665 |
completed | May 15, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071de35b9081908d1b6e797cbe69ce |
completed | May 15, 2026, 1:21 p.m. |
Created at: April 10, 2026, 1:33 p.m.