Triple
T16777246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gers River |
E407757
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Gers (French) |
E64830
|
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: Gers (French) | Statement: [Gers River, hasNameInLanguage, Gers (French)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gers (French) Context triple: [Gers River, hasNameInLanguage, Gers (French)]
-
A.
Gers
chosen
Gers is a river in southwestern France that flows through the historical region of Gascony before joining the Garonne.
-
B.
Gers
Gers is a rural department in southwestern France known for its rolling countryside, traditional Gascon culture, and production of Armagnac brandy and foie gras.
-
C.
Thielle (French)
Thielle is the French name for the Zihl, a river and canal system in western Switzerland connecting Lakes Neuchâtel and Biel.
-
D.
Sarre (French)
Sarre is the French name for the Saar region of western Germany, historically known for its coal industry and strategic location along the French-German border.
-
E.
La Bresse (French)
La Bresse (French) is a commune in the Vosges department of northeastern France, known for its ski resort and outdoor mountain activities in the Vosges Mountains.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b03a646c8190b3944c9f0c25af27 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aafe1f8081909b9540aca6e7b9b7 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:22 a.m.