Triple
T9006744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostallgäu |
E215162
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Alatsee
Alatsee is a small, scenic mountain lake in the Allgäu region of Bavaria, Germany, known for its clear waters, surrounding forests, and hiking opportunities.
|
E770755
|
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: Alatsee | Statement: [Ostallgäu, contains, Alatsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alatsee Context triple: [Ostallgäu, contains, Alatsee]
-
A.
Lisnaskea
Lisnaskea is a small market town in County Fermanagh, Northern Ireland, known for serving as a local commercial and community hub for the surrounding rural area.
-
B.
Alata
Alata is a local area or neighborhood that forms part of the larger Osu district in Accra, Ghana.
-
C.
Alata
Alata is a coastal commune in the Corse-du-Sud department of Corsica, France, situated near the Gulf of Ajaccio and known for its scenic Mediterranean setting.
-
D.
Eteläranta
Eteläranta is a central waterfront street and area in Helsinki, Finland, known for its proximity to the South Harbour and key government and commercial buildings.
-
E.
Heltermaa
Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
- 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: Alatsee Triple: [Ostallgäu, contains, Alatsee]
Generated description
Alatsee is a small, scenic mountain lake in the Allgäu region of Bavaria, Germany, known for its clear waters, surrounding forests, and hiking opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alatsee Target entity description: Alatsee is a small, scenic mountain lake in the Allgäu region of Bavaria, Germany, known for its clear waters, surrounding forests, and hiking opportunities.
-
A.
Lisnaskea
Lisnaskea is a small market town in County Fermanagh, Northern Ireland, known for serving as a local commercial and community hub for the surrounding rural area.
-
B.
Alata
Alata is a local area or neighborhood that forms part of the larger Osu district in Accra, Ghana.
-
C.
Alata
Alata is a coastal commune in the Corse-du-Sud department of Corsica, France, situated near the Gulf of Ajaccio and known for its scenic Mediterranean setting.
-
D.
Eteläranta
Eteläranta is a central waterfront street and area in Helsinki, Finland, known for its proximity to the South Harbour and key government and commercial buildings.
-
E.
Heltermaa
Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bc6e208190b0c01e3761c04799 |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e7f090819093c7af51c3979978 |
completed | April 3, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69cfd17e5850819087fbb60fdc612fd9 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd215204c8190886cc071f100aab6 |
completed | April 3, 2026, 2:43 p.m. |
Created at: March 30, 2026, 7:05 p.m.