Triple
T14011194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Lungern |
E337081
|
entity |
| Predicate | inflow |
P415
|
FINISHED |
| Object |
Eibach
Eibach is a stream in Switzerland that serves as one of the main tributaries feeding Lake Lungern in the canton of Obwalden.
|
E1073945
|
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: Eibach | Statement: [Lake Lungern, inflow, Eibach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eibach Context triple: [Lake Lungern, inflow, Eibach]
-
A.
Eibach
Eibach is a small stream in Switzerland that serves as a tributary of the Ergolz River.
-
B.
Eibach
Eibach is a village and district of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
-
C.
Nitto
Nitto is the surname of Frank Nitti, a prominent Italian-American mobster and key figure in Al Capone’s Chicago Outfit.
-
D.
Yoshimura
Yoshimura is a Japanese surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
E.
Yuasa
Yuasa is a historic coastal town in Japan renowned as the birthplace of traditional soy sauce production.
- 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: Eibach Triple: [Lake Lungern, inflow, Eibach]
Generated description
Eibach is a stream in Switzerland that serves as one of the main tributaries feeding Lake Lungern in the canton of Obwalden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eibach Target entity description: Eibach is a stream in Switzerland that serves as one of the main tributaries feeding Lake Lungern in the canton of Obwalden.
-
A.
Eibach
Eibach is a small stream in Switzerland that serves as a tributary of the Ergolz River.
-
B.
Eibach
Eibach is a village and district of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
-
C.
Nitto
Nitto is the surname of Frank Nitti, a prominent Italian-American mobster and key figure in Al Capone’s Chicago Outfit.
-
D.
Yoshimura
Yoshimura is a Japanese surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
E.
Yuasa
Yuasa is a historic coastal town in Japan renowned as the birthplace of traditional soy sauce production.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbaca7bbd88190a377d3b74f3d6224 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbae6691b48190a0affc662cbb2d4e |
completed | May 6, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaf702c94819095347e2599ae9931 |
completed | May 6, 2026, 9:15 p.m. |
Created at: April 9, 2026, 10:19 p.m.