Triple
T11334160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tirschenreuth |
E268424
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Wondreb
Wondreb is a small river in Bavaria, Germany, that flows through the Tirschenreuth district and forms part of the local watershed near the Czech border.
|
E918260
|
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: Wondreb | Statement: [Tirschenreuth, hasRiver, Wondreb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wondreb Context triple: [Tirschenreuth, hasRiver, Wondreb]
-
A.
Wondros
Wondros is a creative agency and production company known for crafting storytelling-driven campaigns and media for social impact, nonprofits, and major organizations.
-
B.
Al Wonder
Al Wonder is a fictional character associated with the Wonder Bar setting, likely serving as a notable figure or persona within that narrative or venue.
-
C.
Wiz
Wiz is a music video director known for creating visually distinctive videos, including work on the video for "Spaceman."
-
D.
Dunbeg
Dunbeg is a small coastal village in Argyll and Bute on Scotland’s west coast, known for its proximity to Oban and its scenic Highland surroundings.
-
E.
Bow Wow Wow
Bow Wow Wow is a British new wave band formed in 1980, known for its Burundi beat–influenced sound and the hit single "I Want Candy."
- 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: Wondreb Triple: [Tirschenreuth, hasRiver, Wondreb]
Generated description
Wondreb is a small river in Bavaria, Germany, that flows through the Tirschenreuth district and forms part of the local watershed near the Czech border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wondreb Target entity description: Wondreb is a small river in Bavaria, Germany, that flows through the Tirschenreuth district and forms part of the local watershed near the Czech border.
-
A.
Wondros
Wondros is a creative agency and production company known for crafting storytelling-driven campaigns and media for social impact, nonprofits, and major organizations.
-
B.
Al Wonder
Al Wonder is a fictional character associated with the Wonder Bar setting, likely serving as a notable figure or persona within that narrative or venue.
-
C.
Wiz
Wiz is a music video director known for creating visually distinctive videos, including work on the video for "Spaceman."
-
D.
Dunbeg
Dunbeg is a small coastal village in Argyll and Bute on Scotland’s west coast, known for its proximity to Oban and its scenic Highland surroundings.
-
E.
Bow Wow Wow
Bow Wow Wow is a British new wave band formed in 1980, known for its Burundi beat–influenced sound and the hit single "I Want Candy."
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fe5d5881908d786b212a554d8b |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5263cce588190a91f91cbdf023d5e |
completed | April 19, 2026, 7 p.m. |
| NEDg | Description generation | batch_69e52c84518881909e6e2a593348a81a |
completed | April 19, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531d0ab5881909814160b86c8e76b |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:33 p.m.