Triple
T19677115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Grenoble |
E472479
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Froges
Froges is a small commune in southeastern France, located in the Isère department within the French Alps.
|
E1389875
|
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: Froges | Statement: [arrondissement of Grenoble, contains, Froges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Froges Context triple: [arrondissement of Grenoble, contains, Froges]
-
A.
Frogs
Frogs is a comic play by the ancient Athenian playwright Aristophanes that satirically explores the state of Athenian drama and politics through a journey to the underworld.
-
B.
Grenouilles
Grenouilles is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, France, known for producing high-quality Chardonnay wines.
-
C.
Frog
"Frog" is a harsh noise album by Japanese noise musician Merzbow, known for its intense, experimental soundscapes.
-
D.
Frog
Frog is a minor anthropomorphic animal character in Maurice Ravel’s one-act opera "L’enfant et les sortilèges," appearing in the fantastical sequence of enchanted creatures.
-
E.
Frog
Frog is the internal codename used by Apple for the Macintosh SE personal computer during its development.
- 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: Froges Triple: [arrondissement of Grenoble, contains, Froges]
Generated description
Froges is a small commune in southeastern France, located in the Isère department within the French Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Froges Target entity description: Froges is a small commune in southeastern France, located in the Isère department within the French Alps.
-
A.
Frogs
Frogs is a comic play by the ancient Athenian playwright Aristophanes that satirically explores the state of Athenian drama and politics through a journey to the underworld.
-
B.
Grenouilles
Grenouilles is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, France, known for producing high-quality Chardonnay wines.
-
C.
Frog
Frog is a minor anthropomorphic animal character in Maurice Ravel’s one-act opera "L’enfant et les sortilèges," appearing in the fantastical sequence of enchanted creatures.
-
D.
Frog
"Frog" is a harsh noise album by Japanese noise musician Merzbow, known for its intense, experimental soundscapes.
-
E.
Frog
Frog is the internal codename used by Apple for the Macintosh SE personal computer during its development.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641bceef881909c5b655af709c8c6 |
completed | April 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0787c437c08190b9cebe39417f061a |
completed | May 15, 2026, 8:53 p.m. |
| NEDg | Description generation | batch_6a0789252ea88190a56d892f9ecb8ebc |
completed | May 15, 2026, 8:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0789d2d98c8190a922e21271a165f0 |
completed | May 15, 2026, 9:02 p.m. |
Created at: April 10, 2026, 1:45 p.m.