Triple
T2991668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahn |
E80767
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Dill
The Dill is a river in central Germany that flows through Hesse and North Rhine-Westphalia before joining the Lahn.
|
E317371
|
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: Dill | Statement: [Lahn, hasTributary, Dill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dill Context triple: [Lahn, hasTributary, Dill]
-
A.
Basil
Basil is a masculine given name of Greek origin, commonly associated with historical figures, saints, and notable artists and actors.
-
B.
Hahnenklee
Hahnenklee is a village in the Harz Mountains of Germany, known as a popular tourist resort for hiking, winter sports, and its distinctive stave church.
-
C.
Rosemary
Rosemary is a feminine given name of Latin origin, commonly associated with the aromatic herb and often used in English-speaking countries.
-
D.
Mentha spicata
Mentha spicata is a species of mint commonly known as spearmint, widely used as a culinary herb and flavoring agent for its aromatic, refreshing leaves.
-
E.
Peruna
Peruna is the live Shetland pony that serves as the official mascot of Southern Methodist University's athletic teams.
- 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: Dill Triple: [Lahn, hasTributary, Dill]
Generated description
The Dill is a river in central Germany that flows through Hesse and North Rhine-Westphalia before joining the Lahn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dill Target entity description: The Dill is a river in central Germany that flows through Hesse and North Rhine-Westphalia before joining the Lahn.
-
A.
Basil
Basil is a masculine given name of Greek origin, commonly associated with historical figures, saints, and notable artists and actors.
-
B.
Hahnenklee
Hahnenklee is a village in the Harz Mountains of Germany, known as a popular tourist resort for hiking, winter sports, and its distinctive stave church.
-
C.
Rosemary
Rosemary is a feminine given name of Latin origin, commonly associated with the aromatic herb and often used in English-speaking countries.
-
D.
Mentha spicata
Mentha spicata is a species of mint commonly known as spearmint, widely used as a culinary herb and flavoring agent for its aromatic, refreshing leaves.
-
E.
Peruna
Peruna is the live Shetland pony that serves as the official mascot of Southern Methodist University's athletic teams.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99df69d08190a0e25efb0dc8d653 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b109039cfc8190a286c83df752967e |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b10bc71c708190b1e620d41278c3e0 |
completed | March 11, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10c43a7c48190b63a7b3f0f180d44 |
completed | March 11, 2026, 6:31 a.m. |
Created at: March 8, 2026, 2:59 p.m.