Triple
T17600620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac de Gaube |
E428689
|
entity |
| Predicate | outflow |
P967
|
FINISHED |
| Object |
Gave de Gaube
Gave de Gaube is a mountain river in the French Pyrenees that drains the high-altitude Lac de Gaube and flows through the scenic Cauterets valley.
|
E1278295
|
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: Gave de Gaube | Statement: [Lac de Gaube, outflow, Gave de Gaube]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gave de Gaube Context triple: [Lac de Gaube, outflow, Gave de Gaube]
-
A.
Voitsberg
Voitsberg is a small town in southeastern Austria known for its industrial heritage and location within the federal state of Styria.
-
B.
Bregava
Bregava is a river in Bosnia and Herzegovina known for flowing through the town of Stolac before joining the Neretva River.
-
C.
Vechigen
Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
-
D.
Roubion
Roubion is a small mountain village and commune in the Alpes-Maritimes department of southeastern France, known for its medieval character and location in the southern Alps.
-
E.
Roubion
Roubion is a river in southeastern France that flows through the Drôme department, including the town of Montélimar.
- 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: Gave de Gaube Triple: [Lac de Gaube, outflow, Gave de Gaube]
Generated description
Gave de Gaube is a mountain river in the French Pyrenees that drains the high-altitude Lac de Gaube and flows through the scenic Cauterets valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gave de Gaube Target entity description: Gave de Gaube is a mountain river in the French Pyrenees that drains the high-altitude Lac de Gaube and flows through the scenic Cauterets valley.
-
A.
Voitsberg
Voitsberg is a small town in southeastern Austria known for its industrial heritage and location within the federal state of Styria.
-
B.
Bregava
Bregava is a river in Bosnia and Herzegovina known for flowing through the town of Stolac before joining the Neretva River.
-
C.
Vechigen
Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
-
D.
Roubion
Roubion is a small mountain village and commune in the Alpes-Maritimes department of southeastern France, known for its medieval character and location in the southern Alps.
-
E.
Roubion
Roubion is a river in southeastern France that flows through the Drôme department, including the town of Montélimar.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c48dfc08190ba360e6082cffa87 |
completed | April 19, 2026, 5:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01e81b951c81908969e6d2f952efc4 |
completed | May 11, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_6a01ef0a9fb48190ac9d38f027ceb728 |
completed | May 11, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01ef87c62c8190b9a3cd936542d7b4 |
completed | May 11, 2026, 3:02 p.m. |
Created at: April 10, 2026, 5:51 a.m.