Triple
T2476887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Annecy |
E55108
|
entity |
| Predicate | inflow |
P415
|
FINISHED |
| Object |
Biolon
Biolon is a tributary stream that feeds into Lake Annecy in southeastern France.
|
E269842
|
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: Biolon | Statement: [Lake Annecy, inflow, Biolon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biolon Context triple: [Lake Annecy, inflow, Biolon]
-
A.
Ornex
Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
B.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
-
C.
Loëx
Loëx is a small locality within the municipality of Bernex in the canton of Geneva, Switzerland.
-
D.
Brenz
The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
-
E.
Rodan
Rodan is a giant pterosaur-like kaiju from the Godzilla franchise, known for its supersonic flight and destructive shockwaves.
- 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: Biolon Triple: [Lake Annecy, inflow, Biolon]
Generated description
Biolon is a tributary stream that feeds into Lake Annecy in southeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biolon Target entity description: Biolon is a tributary stream that feeds into Lake Annecy in southeastern France.
-
A.
Ornex
Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
B.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
-
C.
Loëx
Loëx is a small locality within the municipality of Bernex in the canton of Geneva, Switzerland.
-
D.
Brenz
The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
-
E.
Rodan
Rodan is a giant pterosaur-like kaiju from the Godzilla franchise, known for its supersonic flight and destructive shockwaves.
- 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_69ab49e279e88190ab10d7248aea9d11 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd14dde208190ad4e1c9de5d43b0a |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17aea398819092cb14b93abd0ff7 |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af18f9af388190bbb4242c89d4272e |
completed | March 9, 2026, 7:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af198534c0819090c742f39501fac6 |
completed | March 9, 2026, 7:03 p.m. |
Created at: March 6, 2026, 9:45 p.m.