Triple
T4199592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barrage Vauban |
E86033
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Vauban Barrage |
E338253
|
NE FINISHED |
How this triple was built (2 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: Vauban Barrage | Statement: [Barrage Vauban, alsoKnownAs, Vauban Barrage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vauban Barrage Context triple: [Barrage Vauban, alsoKnownAs, Vauban Barrage]
-
A.
Vauban Dam
chosen
Vauban Dam is a historic 17th-century defensive weir and bridge in Strasbourg, France, known for its panoramic views over the city’s Petite France district.
-
B.
Serre-Ponçon Dam
Serre-Ponçon Dam is a large hydroelectric and irrigation dam in southeastern France that creates one of Western Europe’s biggest artificial lakes.
-
C.
Bütgenbach Dam
Bütgenbach Dam is a hydroelectric and flood-control structure in eastern Belgium that creates Lake Bütgenbach, a popular site for recreation and water sports.
-
D.
Grandval Dam
Grandval Dam is a large hydroelectric dam in southern France, known for impounding the Truyère River to form the Lac de Grandval reservoir.
-
E.
Lloyd Barrage
Lloyd Barrage is a major irrigation and flood-control structure on the Indus River near Sukkur in Pakistan, renowned for transforming the region’s agriculture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af036243b4819097efe6b796823cd9 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5962296b8819084b91de3f48b7658 |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 9, 2026, 3:49 p.m.