Triple
T16460085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ittigen |
E399783
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Worble
Worble is a river in Switzerland that flows through the municipality of Ittigen in the canton of Bern.
|
E1214827
|
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: Worble | Statement: [Ittigen, hasRiver, Worble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worble Context triple: [Ittigen, hasRiver, Worble]
-
A.
Wrabel
Wrabel is an American singer-songwriter known for his emotive pop ballads and collaborations with major artists.
-
B.
Doozer
Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
-
C.
Bow Wow
Bow Wow is an American rapper and actor who rose to fame as a child star in the early 2000s with hit singles and roles in films like "Like Mike."
-
D.
Birdy
"Birdy" is a 1984 psychological war drama film, directed by Alan Parker and starring Matthew Modine and Nicolas Cage, about the intense post-Vietnam friendship between two traumatized young men.
-
E.
Birdy
Birdy is an English singer-songwriter known for her emotive vocals and piano-driven covers and original songs, including her breakout rendition of Bon Iver’s “Skinny Love.”
- 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: Worble Triple: [Ittigen, hasRiver, Worble]
Generated description
Worble is a river in Switzerland that flows through the municipality of Ittigen in the canton of Bern.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Worble Target entity description: Worble is a river in Switzerland that flows through the municipality of Ittigen in the canton of Bern.
-
A.
Wrabel
Wrabel is an American singer-songwriter known for his emotive pop ballads and collaborations with major artists.
-
B.
Doozer
Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
-
C.
Bow Wow
Bow Wow is an American rapper and actor who rose to fame as a child star in the early 2000s with hit singles and roles in films like "Like Mike."
-
D.
Birdy
"Birdy" is a 1984 psychological war drama film, directed by Alan Parker and starring Matthew Modine and Nicolas Cage, about the intense post-Vietnam friendship between two traumatized young men.
-
E.
Birdy
Birdy is an English singer-songwriter known for her emotive vocals and piano-driven covers and original songs, including her breakout rendition of Bon Iver’s “Skinny Love.”
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d80e66c8190b2b3199efe9cfaa1 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f53aff081909a75de6672f15f0e |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a0050a0f5b081908417c6062b1f50cc |
completed | May 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00517b7b1c819098118fdbe03eb010 |
completed | May 10, 2026, 9:35 a.m. |
Created at: April 10, 2026, 5:10 a.m.