Triple
T3647201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sieg |
E77328
|
entity |
| Predicate | hasRightTributary |
P415
|
FINISHED |
| Object |
Heller
The Heller is a river in Germany that serves as a right-bank tributary of the Sieg.
|
E375906
|
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: Heller | Statement: [Sieg, hasRightTributary, Heller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heller Context triple: [Sieg, hasRightTributary, Heller]
-
A.
The Hill
The Hill is a famous public vantage point overlooking Epsom Downs Racecourse, known for offering free, expansive views of major horse racing events like The Derby.
-
B.
Die Hart
Die Hart is an action-comedy series starring Kevin Hart as a fictionalized version of himself trying to become an action movie star, blending Hollywood satire with over-the-top stunts.
-
C.
Barron
Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
-
D.
Barron
Barron is a surname of English origin borne by various notable individuals across fields such as law, politics, and the arts.
-
E.
The Quigley
The Quigley is a notorious water obstacle course at the U.S. Marine Corps Officer Candidates School, known for its muddy trenches, submerged passages, and physically demanding conditions.
- 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: Heller Triple: [Sieg, hasRightTributary, Heller]
Generated description
The Heller is a river in Germany that serves as a right-bank tributary of the Sieg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heller Target entity description: The Heller is a river in Germany that serves as a right-bank tributary of the Sieg.
-
A.
The Hill
The Hill is a famous public vantage point overlooking Epsom Downs Racecourse, known for offering free, expansive views of major horse racing events like The Derby.
-
B.
Die Hart
Die Hart is an action-comedy series starring Kevin Hart as a fictionalized version of himself trying to become an action movie star, blending Hollywood satire with over-the-top stunts.
-
C.
Barron
Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
-
D.
Barron
Barron is a surname of English origin borne by various notable individuals across fields such as law, politics, and the arts.
-
E.
The Quigley
The Quigley is a notorious water obstacle course at the U.S. Marine Corps Officer Candidates School, known for its muddy trenches, submerged passages, and physically demanding conditions.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc38aa2388190bf1af926375e2433 |
completed | March 8, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f394f9c8190881edc18b544dbb7 |
completed | March 13, 2026, 5:54 p.m. |
| NEDg | Description generation | batch_69b45347e364819080c0dac755405462 |
completed | March 13, 2026, 6:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b45f4640e881909b0e3b68cb899669 |
completed | March 13, 2026, 7:02 p.m. |
Created at: March 8, 2026, 3:24 p.m.