Triple
T1558231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weser |
E33257
|
entity |
| Predicate | tributary |
P415
|
FINISHED |
| Object |
Emmer
Emmer is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia before joining the Weser.
|
E177247
|
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: Emmer | Statement: [Weser, tributary, Emmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmer Context triple: [Weser, tributary, Emmer]
-
A.
Zein
Zein is the given name of Queen Zein al-Sharaf, a prominent 20th-century queen of Jordan known for her social and political influence.
-
B.
Oryza sativa
Oryza sativa is the domesticated Asian rice species that serves as a staple food crop for over half of the world’s population.
-
C.
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.
-
D.
Paglia
The Paglia is a river in central Italy that flows through the regions of Umbria and Lazio before joining the Tiber.
-
E.
Rùm
Rùm is a small, rugged island in Scotland’s Inner Hebrides, known for its dramatic mountainous landscape, wildlife, and status as a National Nature Reserve.
- 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: Emmer Triple: [Weser, tributary, Emmer]
Generated description
Emmer is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia before joining the Weser.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emmer Target entity description: Emmer is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia before joining the Weser.
-
A.
Zein
Zein is the given name of Queen Zein al-Sharaf, a prominent 20th-century queen of Jordan known for her social and political influence.
-
B.
Oryza sativa
Oryza sativa is the domesticated Asian rice species that serves as a staple food crop for over half of the world’s population.
-
C.
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.
-
D.
Paglia
The Paglia is a river in central Italy that flows through the regions of Umbria and Lazio before joining the Tiber.
-
E.
Rùm
Rùm is a small, rugged island in Scotland’s Inner Hebrides, known for its dramatic mountainous landscape, wildlife, and status as a National Nature Reserve.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9088355048190adad5ea2bb558d13 |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3710688c8190a280f03bced5601f |
completed | March 8, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_69ad3812855881909b571d6a7a96d524 |
completed | March 8, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad38a4017c8190b2c5f1f0d1d9b5a5 |
completed | March 8, 2026, 8:51 a.m. |
Created at: March 4, 2026, 7:27 p.m.